IEEE 2018-2019 Project Titles on IoT

Nowadays Health-care Environment has developed science and knowledge based on Wireless-Sensing node Technolgy oriented. Patients are facing a problematic situation of unforeseen demise due to the specific reason of heart problems and attack which is because of nonexistence of good medical maintenance to patients at the needed time. This is for specially monitoring the old age patients and informing doctors and loved ones. So we are proposing a innovative project to dodge such sudden death rates by using Patient Health Monitoring that uses sensor technology and uses internet to communicate to the loved ones in case of problems . This system uses Temperature and heartbeat sensor for tracking patients health. Both the sensors are connected to the Arduino-uno . To track the patient health micro-controller is in turn interfaced to a LcD display and wi-fi connection to send the data to the web-server(wireless sensing node). In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature and heartbeat tracked live data with timestamps over the Internetwork. Thus Patient health monitoring system based on IoT uses internet to effectively monitor patient health and helps the user monitoring their loved ones drom work and saves lives.
Now a day's trend in healthcare is to move routine medical checks and other health care services from hospital to the home environment. A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. An intelligent home based medicine box with wireless connectivity along with an android application helps patients and doctors to be in more close communication. The proposed model has an intelligent medicine box that gives alerts to patients for their medication at right time. It is connected to internet to make timely updates about medicine to patient's Smartphone through notices in android application. The system automatically gives alarm to the patient to take the medicine at right time. Sms alerts are given to predefined guardian if there are any vital signs noticed.
Abstract: Nowadays, automation and Internet of Things are changing the world. The day-by-day development of the Internet of Things causes a revolution in modern technology, which makes our life easier and automated. Due to a busy schedule and irregular lifestyle, health hazard is not an age-dependent factor in the recent era. Under these circumstances, Internet of Things has provided a much easier solution for remote real-time health monitoring of patients from the hospital as well as home. Sensors acquire the data of various parameters regarding patients' health, and the Internet of Things stores that data and displays through the website, which provides access for remote monitoring. Use of Sensor reduces the human error, and the size of the system reduces the occupied space of the room. The unique part of this proposed solution is the alarm generation to provide the prescribed medicine to the patient in time. The other beneficial area of the system is the scheme of sending the notification through email and SMS alert if any of the health parameters crosses the threshold value. Notification scheme will keep the respective authority conscious of the situation. Another significant area of the proposed solution is to create the optimum surroundings as per the requirement of patient's health condition. In this paper, we have discussed the monitoring of heart rate, blood pressure, respiration rate, body temperature, body movement and saline levels.
The present paper investigates the possibility to control working and stopping of machines (composing a factory, an irrigation process and so on) controlled by a website via the internet from any place in the world. The idea is to send commands from a website to a factory (irrigation process) computer program control via a shared database in IoT environment. The attempt has shown very successful results both in a factory tar productivity for converting a panel board control to a computer program control and in a model irrigation system control from a website via a shared database.
This work presents the use of the Internet of things (IoT) applied to a control of an actuator that works through temperature and approximation values. The proposed technology consists of three principal parts: Hardware (Raspberry Pi 3), a virtual machine installed in “the cloud” and a mobile device with a Global Positioning System (GPS) application. A system was developed in the Raspberry Pi 3 that is connected to a temperature sensor which monitors the external temperature and is connected to a mechanical actuator. This part of the system is able to send a message to the cloud concerning the ambient temperature which is stored on a database. The mobile device consists of an Android application based on GPS positions which is able to send a positional message to the cloud that is stored on a database. A cloud development records the latest position and temperature data which are then compared to a predetermined threshold value in development. Through the logical operation AND between the comparisons of the temperature and position values with the threshold values, the decision to switch the actuator on or off is taken. The system performs the storage and comparison of the cloud data each time interval t predetermined in the development. The proposed system was validated through a case study.
Agriculture is becoming an important growing sector throughout the world due to increasing population. Major challenge in agriculture sector is to improve farm productivity and quality of farming without continuous manual monitoring to meet the rapidly growing demand for food. Apart from increasing population, the climate change is also a big concern in agricultural sector. The purpose of this research work is to propose a smart farming method based on Internet of Things (IoT) to deal with the adverse situations. The smart farming can be adopted which offer high precision crop control, collection of useful data and automated farming technique. This work presents an intelligent agriculture field monitoring system which monitors soil humidity and temperature. After processing the sensed data it takes necessary action based on these values without human intervention. Here temperature and moisture of the soil are measured and these sensed values are stored in ThingSpeak [11] cloud for future data analysis.
Ubiquitous objects are getting “smarter” and more “connected”, every day. With this ever-growing Internet of Things, every object can now be uniquely identified and made to communicate with each other. This approach has been applied to dustbins too, to monitor garbage collection, throwing light on numerous valuable insights. Our project too employs a similar approach, to not only monitor garbage collection but also optimize it, using machine learning. The method of unsupervised learning we utilize is K Means Clustering, widely used in data mining and analytics. Our physical device uses an ultrasonic sensor to be aware of a dustbin's current content level. If the level reaches or exceeds a threshold percentage of the total capacity of the dustbin, it informs our servers, via an online application programming interface (API) developed for this purpose. The API also stores related data - fill time, cleanup time, and location, to name a few. This dynamic dataset generated is analyzed by our algorithm, to determine the times of the day, when a regular cleanup should be performed, such that the dustbins are clean, for the maximum possible portion of the day. The algorithm also shows the locations, where another dustbin should be installed, for further optimization. This is found out by inspecting each cluster individually and scanning out - items which are the furthest away from its closest centroid; and multiple items related to the same dustbin. In either case, a new dustbin installation is advised at such locations. Data henceforth generated revealed that the installation has had a positive effect on the optimization.
We spend a lot of time within buildings. The research field of the Structural Health Monitoring (SHM) is aimed to diagnose the state of structures, to prevent that our houses, bridges, offices or other civil infrastructures could become deadly traps as a result of not visible damages. In this paper a SHM system is proposed, that exploits the Internet-of-Things paradigm, to perform in real-time not only the monitoring or damage detection, but also to send a remote notification, finalized to alert the authorities and rescuers, about the potential collapse of a buildings. In this context the timing notification depends both on the ability of the system to detect the invisible damages, using the information collected by several sensors correlated in time, and the delay in the transmission of such information from the building up to the authorities and rescuers offices. Experimental tests highlight the effectiveness of the proposed method to resolve the synchronization problem among sensor signals and to estimate the impact of the data transmission delay on the application logic.
Detection of atrial fibrillation is done by checking the variations in the period of the heart rate, if a patient has atrial fibrillation then the period between each heart beat will vary. A light-based sensor can be used to detect these variations in heart rate; this is done by using Photoplethysmography (PPG) sensor which is non-invasive. The sensor consists of a LED with a photodetector and is able to detect the variations in blood volume or blood flow in the body and directly correlates to heart rate. The detected signal needs to be amplified and filtered as the signal contains a lot of high frequency noise as well as low frequency motion artifacts. The benefits of compact low-cost Wi-Fi module can be harnessed to develop a wireless continuous heart rate monitoring system enhancing possibility of atrial fibrillation detection.
Localization is one important part of Internet of Things(IoT) where the Location of Everything (LoE) system plays a important role to improve most services in IoT area. On the other hand, data mining techniques are essential analyses when we have big data from IoT platforms. Indeed, integration of location-based methods and data mining analysis process can make a smart system service for IoT scenarios and applications. For this purpose, we design a smart shopping platform including four components, location of everything component, data collection component, data filtering/analysing component and data mining component. Then a novel accurate localization scheme named “location orbital” is developed that estimates the current location of mobile objects (users or everything) based on both current and the previous locations. Finally, an implementation of the experiment in a shopping mall is conducted to practically examine performance evaluation of the location-based scheme. The experimental results show that the proposed scheme could achieve significant higher precision than other localization techniques.
With the advent of Internet of Things (IoT) and industrialization, the development of Information Technology (IT) has led to various studies not only in industry but also in agriculture. Especially, IoT technology can overcome distance and place constraints of wired communication systems used in existing farms, and can expect agricultural IT development from automation of agricultural data collection. In this paper, smart farm system using low power Bluetooth and Low Power Wide Area Networks (LPWAN) communication modules including the wired communication network used in the existing farm was constructed. In addition, the system implements the monitoring and control functions using the MQ Telemetry Transport (MQTT) communication method, which is an IoT dedicated protocol, thereby enhancing the possibility of development of agricultural IoT.
Traditional agriculture is transforming into smart agriculture due to the prominence of the Internet of Things (IoT). Low-cost and low-power are the key factors to make any IoT network useful and acceptable to the farmers. In this paper, we have proposed a low-power, low-cost IoT network for smart agriculture. For monitoring the soil moisture content, we have used an in-house developed sensor. In the proposed network, the IITH mote is used as a sink and sensor node which provides low-power communication. We have evaluated our network with state of the art networks, proposed for agriculture monitoring. Power and cost are the two metrics used for evaluation of these networks. Results show that the proposed network consumes less power and has on average 83% prolonged lifetime at a lower cost compared to previously proposed network in the agriculture field.
In the last years, besides the implementation in the smart city applications, IoT has also found significant place in the agricultural and food production process. In the paper we present an innovative, power efficient and highly scalable IoT agricultural system. This system is based on LoRaWAN network for long range and low power consumption data transmission from the sensor nodes to the cloud services. Our system of cloud services is highly scalable and utilizes data stream for analytics purposes. In our case study we show some preliminary results for grape farm.
In this paper, authors have focused on controlling of hybrid energy system using IOT. There is various combination of energy and all of them are alternative to each other like solar energy, wind energy, bio fuel, fuel cell, etc. But the need of controlling of hybrid energy system arises when it is installed for domestic or commercial purpose. At this point IOT plays an important role in controlling system. The main criteria being switching between the two sources of energy i.e. solar and wind energy without any inconvenience through a website using ESP8266 Wi-Fi module. The data is transmitted wirelessly through website to ESP8266 module which controls the sources of energy. The transmitted data is controlled remotely using IOT. This enables user to have flexible control mechanism remotely through a secured internet web connection. This system helps the user to control the sources of energy, manually and remotely using smart phone or personal computer. This system is very efficient, cheaper and flexible in operation.
As one of the urban public facilities, sewer is related to the quality and safety of life of urban residents. Many scholars have proposed different schemes for sewer monitoring. However, there is no efficient and comprehensive system for sewer monitoring. Therefore, this paper presents a new method to realize real-time monitoring of urban sewer, which introduces the multimedia information sensing function of video and image in the traditional wireless sensor network to form a new sensor network to analyze the sewer situation more intuitively and in real time. And to deal with good information in a timely manner to the relevant personnel to the urban sewer system for efficient management, and in an emergency situation in time to make plans. Case studies and related experimental results show that our method is more practical, reliable and comprehensive.
One of the main problems in many big and crowded cities is finding parking spaces for vehicles. With IoT technology and mobile applications, in this paper, we propose a design and development of a real smart parking system that can provide more than just information about vacant spaces but also help user to locate the space where the vehicle can be parked in order to reduce traffics in the parking area. Moreover, we use computer vision to detect vehicle plate number in order to monitor the vehicles in the parking area for enhancing security and also to help user find his/her car when he/she forgets where the car is parked. In our system, we also design the payment process using mobile payment in order to reduce time and remove bottleneck of the payment process at the entry/exit gate of the parking area.
In current era, with the latest technological developments, the Internet of Things (IoT) is becoming an important part of our daily life. The aim of this project is to use the IoT with an intelligent wireless sensors network in order to monitor the health of plants and to observe the population of larva in a remote crop field. In this framework, a wireless sensors network is proposed to detect larva and measure other system parameters like Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The sensors' data is collected by the front end sensing node, developed with a STM32F407VG board, via a serial port. The STM32F407VG board is based on the ARM processor. The data from the node is transmitted to a base station by using a wireless ZigBee interface. The base station collects data from a group of sensor nodes. This data is transmitted to the Central Processing Unit (CPU) via the USB liaison between the base station and the CPU. On CPU this data is analyzed via the MATLAB based specifically developed application. The findings are displayed and stored on the CPU and are also logged on the cloud via Thingspeak liaison. It allows accessing this data globally at any time. It is done to realize a timely interaction and cure of the intended crop field. The system parameters are adjusted in order to achieve the effective modules integration and performance. The proposed system operation is tested with an experimental setup. Results have confirmed a proper system functionality.
The health and wellness sector is critical to human society and as such should be one of the first to receive the benefits of upcoming technologies like IoT. Some of the Internet of Medical Things (IoMT) are connected to IoT networks to monitor the day-to-day activities of the patients. Recently there has been attempts to design new medical devices which monitor the medications and help aged people for a better assisted living. In this paper, one such attempt is made to design a multipurpose portable intelligent device named MEDIBOX which helps the patients take their medications at the right time. This box is a proficient system which maintains the parameters like temperature and humidity in a controlled range recommended by the drug manufacturer and thus maintains the potency of the medicines even if the patient is travelling. Related to this, we have developed a Host Management System (HMS) which is capable of cloud-based installation and monitoring that stores and controls the MEDIBOX functionality for further analysis and future modification in design aspects.
As the time spent inside the office and comfort level is rising, the office room is alter for automatic control and observation of various parameters. Internet of things (IoT) system proposed in this paper based on arm controller and Thingspeak cloud provide solution for automatic control of office room appliances such as light, fan, AC by considering human comfort. Various office room parameters like temperature, light intensity, connected load, energy consumption, voltage and current consumption can also be monitored and analyzed from anywhere over the internet. Electrical appliances will turn on only when there is presence detected by the PIR sensors. Workable room environment such as light intensity and room temperature are maintained and monitored by using lux sensor and temperature sensor respectively. The room automation system based on IoT consist of sensors (temperature sensor, lux sensor), arm controller board, multifunction energy meter, ESP8266 Wi-Fi module and Wi-Fi router.
In recent years, the advancements in Information and Communication Technology (ICT) are mainly focused on the Internet of Things (IoT). In a real-world scenario, IoT based services improve the domestic environment and are used in various applications. Home automation based IoT is versatile and popular applications. In home automation, all home appliances are networked together and able to operate without human involvement. Home automation gives a significant change in humans life which gives smart operating of home appliances. This motivated us to develop a new solution which controls some home appliances like light, fan, door cartons, energy consumption, and level of the Gas cylinder using various sensors like LM35, IR sensors, LDR module, Node MCU ESP8266, and Arduino UNO. The proposed solution uses the sensor and detects the presence or absence of a human object in the housework accordingly. Our solution also provides information about the energy consumed by the house owner regularly in the form of message. Also, it checks, the level of gas in the gas cylinder if it reaches lesser than the threshold, it automatically books the gas and sends a reference number as a message to the house owner. The proposed solution is deployed and tested for various conditions. Finally, in this paper, the working model of our proposed solution is developed as a prototype and explained as a working model.
In the Philippine transport, the public utility vehicles (PUVs) are one of the top emitters of CO 2 emissions (CO 2 e). Moreover, the need of quantifying the CO 2 e of PUV is important in reducing the emission. Hence, this paper focuses on the statistical evaluation of CO 2 e of PUV based on the parameters affecting it - road grade, acceleration, and vehicle specific power (VSP). An Internet of Things (IoT) system with onboard CO 2 sensors, GPS receivers, wireless communication nodes and a base station, online elevation query, cloud server, and an online IoT monitoring dashboard were used to remotely gather, store and visualize the needed measurements. The correlations of CO 2 e according to these parameters were analyzed using statistical tools - histograms, box plots, and scatter plots. Results have shown that the correlation of PUV CO 2 e with respect to downhill roads, uphill roads, and acceleration follows a U-shaped curves with the trough from the ranges of -19% to -3% at -16%, 3% to 22% at around 13% to 16%, and from -4m/s2 to 3m/s2 at -2m/s2, respectively. Likewise, significant changes of CO 2 e were observed at different levels of VSP. Evidently, the mentioned factors have significantly affected the CO 2 e of the PUVs.
Nowadays, finding a secure parking lot in modern cities deemed as very hard and time-consuming task. Leaving negative implications on traffic congestion, air pollutions, climate changes, etc. are also creating difficult situations to find the secure parking lot on required time. Thus, Smart Parking System (SPS) deemed inevitable option to solve those issues and build a comprehensive smart transportation system. Toward this end, this paper aims to design a secure and smart parking monitoring, controlling and management solutions based on the integration of Wireless Sensor Network (WSN), Radio Frequency Identification (RFID), Adhoc Network, and Internet of Things (IoT). Considering cyber security issues in IoT environment, we adopt a lightweight cryptographic algorithm that meets IoT device requirements in term of computational cost and energy consumption. Fog computing has been adopted to process and manipulate sensitive data within the edge of the network and accelerate response time for any emergency circumstance. The proposed model provides real-time information for detecting parking lots and reservation, e-payment solutions to mitigate traffic congestion, parking management optimization and enhance user experience while preserving user privacy and security.
Agriculture plays vital role in the development of agricultural country like India. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the proposed method aims at making agriculture smart using automation and IoT technologies. Internet of Things (IoT) enables various applications crop growth monitoring and selection, irrigation decision support, etc. A Raspberry Pi based automatic irrigation IOT system is proposed to modernization and improves productivity of the crop. main aim of this work to crop development at low quantity water consumption, In order to focus on water available to the plants at the required time, for that purpose most of the farmers waste lot time in the fields. An efficient management of water should be developed and the system circuit complexity to be reduced. The proposed system developed on the information sent from the sensors and estimate the quantity of water needed. A two sensors are used to get the data to the base station the humidity and the temperature of the soil, the humidity, the temperature, and the duration of sunshine per day. The proposed systems based on these values and calculate the water quantity for irrigation is required. The major advantage the system is implementing of Precision Agriculture (PA) with cloud computing, that will optimize the usage of water fertilizers while maximizing the yield of the crops and also will help in analyzing the weather conditions of the field.
To meet the needs of urban public and the city development smartly, the use of IoT devices, such as sensors, actuators, and smartphones, etc., and the smart system is the very fast and valuable source. However, interconnecting thousands of IoT devices while communicating with each other over the Internet to establish a smart system, results in the generation of huge amount of data, termed as Big Data. To integrate IoT services in order to get real-time city data and then processing such big amount of data in an efficient way aimed at establishing smart city is a challenging task. Therefore, in this paper, we proposed and developed a smart city system based on IoT using Big Data Analytics. We use sensors deployment including smart home sensors, vehicular networking, weather and water sensors, smart parking sensors, surveillance objects, etc. The complete architecture and implementation model is proposed, which is implemented using Hadoop ecosystem in a real environment. The system implementation consists of various steps that start from data generation and collecting, aggregating, filtration, classification, preprocessing, computing and finished at decision making. The efficiency in Big Data processing is achieved using spark over Hadoop. The system is practically implemented by taken smart systems as city data source to develop smart city. The evaluation results show that the proposed system is scalable and efficient.
The smart city and smart infrastructure is a new concept, for managing and controlling the different infrastructure of the city by integrating it with the internet and cellular network. The integration of Internet of Thing (IoT) with the cellular network again adds more scalability and reliability to the existing system. The recent development in the Integrated Radio Frequency Identification (I-RFID) sensor more securely sends sensor data to long distances through access point (AP) and base station (BS). This transmission needs some highly secure authentication and validation methods. In this paper we have present an I-RFID based cellular IoT (C-IoT) system and given its key security issue. We have proposed some algorithm for this system and the simulation result shows that this proposed algorithm is secure from various attacks and more useful in the practical scenario for C-IoT network communication in smart infrastructure health monitoring.
Over the past few decades, the rate of urbanization has increased enormously. More enhanced services and applications are needed in urban areas to provide a better lifestyle. Smart city, which is a concept of interconnecting modern digital technologies in the context of a city, is a potential solution to enhance the quality and performance of urban services. With the introduction of Internet-of-Things (IoT) in the smart city, new opportunities have emerged to develop new services and integrate different application domains with each other using Information and Communication Technologies. However, to ensure seamless services in an IoT-enabled smart city environment, all the applications have to be maintained with limited energy resources. One of the core sectors that can be improved significantly by implementing IoT is the lighting system of a city since it consumes more energy than other parts of a city. In a smart city, the lighting system is integrated with advanced sensors and communication channels to obtain a Smart Lighting System (SLS). The goal of an SLS is to obtain an autonomous and more efficient lighting management system. In this paper, we provide an overview of the SLS and review different IoT-enabled communication protocols, which can be used to realize the SLS in the context of a smart city. Moreover, we analyzed different usage scenarios for IoT-enabled indoor and outdoor SLS and provide an analysis of the power consumption. Our results reveal that IoT-enabled smart lighting systems can reduce power consumption up to 33.33% in both indoor and outdoor settings. Finally, we discussed the future research directions in SLS in the smart city.
Smart tourism is an important component of smart cities. However, in many cities, insecurity, safety, fraud, and the lack of availability of proper information about resources are the biggest hurdles toward independent mobility. These issues can be overcome via proactive participation of local citizens to help tourists as well as by cooperation between citizens, city administration, and tourists. As a result, a number of components of smart cities can be strengthened, from sustainable mobility in tourism development to economic development. This is very challenging, as it requires a combination of societal inputs and advanced smart and effective tools. This article presents a viable Internet of Things (IoT)-based solution called iTour that is a framework for independent tourist mobility. In the process, we analyze the difficulties in initiatives and lessons, exploring possible roles of the IoT.
It is important for every school to have a trustworthy and secure transportation service to ensure the safety of the students. It helps the school administration to effectively manage their bus fleet and potentially reduce mishaps. This is where vehicle monitoring takes effect. The proposed system provides real time information about various parameters of the vehicle like the location, the route, the speed, the list of passengers, the adherence of drivers to schedule and much more. The system further allows the parents to be notified when their ward alights or boards the bus. In this system, we make use of RFID and GPS technologies and connect them to a remote server over WiFi using an ESP8266 microcontroller. An Ublox 6M GPS module is used to find the current geographic coordinates of the vehicle's location as well as the speed it is going at. An MFRC522 RFID reader identifies each student as they board or alight the vehicle by reading the id from their RFID tags. The system uses the ESP8266 to upload the information from the peripherals to a database in the web server. The information can be accessed by the parents through a mobile application and this helps them track their wards effectively. The school administration can also access the application to ensure student safety and contact a driver or a parent. The application also allows the administration to be informed of emergencies or complaints.
The major goal of the project is to make traffic management system work dynamically using Internet of Things, Infrared sensor and Image Processing in order to make traffic system work efficiently. Traffic management automation systems in the market aims to computerized the traffic lights, operates on a periodic schedule to control the light (red/yellow/green) uses various technologies like GSM, NFC focuses on the basic operation of an electrical switch. Our project plan to provide a automated IR-sense based solution that makes traffic signals to shift the lights (red/yellow/green) dynamically. We plan on implementing the project for one junction “Proof-of-Concept” for this paper, which includes traffic lights, IR-sensors, Wi-Fi transmitter and Raspberry Pi microcontroller. The sensed data gathered from IR sensor is transmitted by the Wi-Fi transmitter which is received by the raspberry-pi controller. Based on this compilation it dynamically shifts time of the red signal and the user gets an intimation of status of the signal on his way. The Raspberry Pi controller works as a central console, it determines which sideways of the road signal is to get open or close. The central console gathers all the data from sensors and stores it in the cloud which intimates traffic status to a mobile device.
For the quail farmers, hatching the eggs in a big number is a problem to producing the quail which incubate by quail parent manually. In this research describe the development of quail eggs smart incubator. The incubator system based on Arduino microcontroller can control the temperature, humidity, and reversal the quail eggs automatically. In addition, Internet of Things (IoT) system can help farmers to monitor the smart incubator from a distance. The quail eggs smart incubator be applied to hatching the quail eggs at CV Slamet Quail Farm, Sukabumi, Indonesia show the best result to hatching the quail eggs. The quail eggs has been successfully hatch normally is 87.55%, 0.41% hatch but defective, 1.84% hatch but dead, and 10.20% not hatch by 490 eggs in 17th days of incubate period.
Energy can be harvested from the thermal waste produced in the Engines and Silencer of the vehicle. Recently used Gas turbine engines may fail due to fuel leakage or failure of engine System. Therefore, these vehicle which runs on both Fuel and electricity Produces by itself will consume less fuel and operates over a long distance. Thermo electric generator (TEG) module is used here, which generates electrical energy from the heat dissipated in the Engines and Silencer surface of the Vehicle. Due to the temperature difference between two terminals of TEG a voltage (current) is produced. The produced voltage is not sufficient to drive the vehicle hence the voltage is boosted up to required level using a DC-DC converter. The boosted up voltage is stored in battery which is used as a backup. Hence when the fuel system fails, immediately backup system will operate and continue its operation. Thus it makes the Vehicle self Sufficient. The physical parameters like temperature will be monitored simultaneously using Internet of Things (IoT) technology. The main objective is to reduce the use of non-renewable fossil fuels and thereby reducing the CO2 emission which makes the vehicle eco-friendly. TEG system in future can be converted as a hybrid system in combination with solar cells to increase the vehicle efficiency. TEG system is very compact and the efficiency will be high since the vehicle delivers large amount of heat. This system is practically very easy to implement.
A BLE beacon is a small electronic device that has recently been proposed as a building block to construct an infrastructure supporting emerging smart applications. However, due to its simple communication protocol architecture, which broadcasts a static payload, a BLE beacon-based infrastructure is vulnerable to different types of abuses and attacks, in particular free-riding and device spoofing. Many beacon manufacturers propose dynamically randomizing beacon advertisement packets at the device firmware level as a solution. However, this approach is difficult to implement for already deployed beacon nodes as it requires a firmware update on each device. To alleviate these drawbacks, a crowd-assisted architecture for securing BLE beacons is proposed in this paper. A detailed architecture is presented along with experimental results and an implementation to demonstrate its feasibility. It is found that the beacon ID can be changed by user's mobile phone within a 20 m range with probability of almost 100% under both stationary and mobile conditions.
Monitoring and control the environmental parameters in agricultural constructions are essential to improve energy efficiency and productivity. Real-time monitoring allows the detection and early correction of unfavourable situations, optimizing consumption and protecting crops against diseases. This work describes an automatic system for monitoring farm environments with the aim of increasing efficiency and quality of the agricultural environment. Based on the Internet of Things, the system uses a low-cost wireless sensor network, called Sun Spot, programmed in Java, with the Java VM running on the device itself and the Arduino platform for Internet connection. The data collected is shared through the social network of Facebook. The temperature and brightness parameters are monitored in real time. Other sensors can be added to monitor the issue for specific purposes. The results show that conditions within greenhouses may in some cases be very different from those expected. Therefore, the proposed system can provide an effective tool to improve the quality of agricultural production and energy efficiency.
Roadway safety is a serious public health issue. Vehicle crashes on the roads and highways cost loss of lives and damages to properties. Technology exists today to help identify and respond quickly to crashes, which is specially critical in rural areas. A feature that enables a car to warn its driver against an eminent crash or to recommend the proper speed based on traffic and weather conditions is much needed in today's Internet of Things (IoT) era. Connected Vehicle (CV) technologies are contributing towards fulfilling this need. In this paper, we present a safety driving system through a cooperative hazard awareness and avoidance (CHAA) system based on V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) communications. Our approach is based on DSRC-based V2V communications. It aims to alert drivers and recommend the proper speeds for vehicles that are approaching a hazardous zone due, for instance, to low visibility conditions. We also validate the proposed hazard alert and speed recommender system under various scenarios through simulations using the iTetris platform and SUMO simulator and we demonstrate its outperformance, compared to a regular environment, in terms of risk reduction and road safety efficiency. To this end, we have adapted iTetris by updating some of its existing features (like the Geo-broadcast routing capability) which is another contribution of this paper.
Pollution is in India as well as in the whole world is depleting the ozone layer and is playing major role in air pollution. The objective of research is to implement a carbon monoxide detection system which will measure and track the CO levels and can also measure the values in any applications. The IOT (Internet of Things) is the bridge connector to the existing Internet infra; it plays the role of connecting the thing (things are the physical devices like lights, phones, cars) to the Internet. We developed prototype or system using a MQ-7 carbon monoxide sensor and GPS system, which detects the gas leakage in Car at location tracked using GPS. The functioning of the prototype is described where we include the sensors, Raspberry Pi3, AWS IOT and dynamoDB. A SNS service in AWS is used to send message if found gas leakage in car. The message will be sent to the user by using the user ID in the amazon web services IOT console. The MQ-7 sensor data is programmed in Python Which is one of the supporting SDK's for RaspberryPi in AWS
In this paper we build an MQTT(Message Queue Telemetry Transportation) broker on Amazon Web Service(AWS). The MQTT broker has been utilized as a platform to provide the Internet of Things(IoT) services which monitor and control room temperatures, and sense, alarm, and suppress fire. Arduino was used as the IoT end device connecting sensors and actuators to the platform via Wi-Fi channel. We created smart home scenario and designed IoT massages satisfying the scenario requirement. We also implemented the smart some system in hardware and software, and verified the system operation. We show that MQTT and AWS are good technical candidates for small IoT business applications.
Global health which denotes equitable access to healthcare, particularly in remote-rural-developing regions, is characterized by unique challenges of affordability, accessibility, and availability for which one of the most promising technological interventions that is emerging is the Internet of Things (IoT) based remote health monitoring. We present an IoT based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely Rapid Active Summarization for effective PROgnosis (RASPRO) and Criticality Measure Index (CMI) alerts, both of which we have implemented in the IoT smart edge. RASPRO transforms voluminous sensor data into clinically meaningful summaries called Personalized Health Motifs (PHMs). The CMI alerts engine computes an aggregate criticality score. Our IoT smart edge employs a risk-stratified protocol consisting of rapid guaranteed push of alerts & PHMs directly to the physicians, and best effort pull of detailed data-on-demand (DD-on-D) through the cloud. We have carried out both clinical validation and performance evaluation of our smart edge system. The clinical validation on 183 patients demonstrated that the IoT smart edge is highly effective in remote monitoring, advance warning and detection of cardiac conditions, as quantified by three measures, precision (0.87), recall (0.83), and F1-score (0.85). Furthermore, performance evaluation showed significant reductions in the bandwidth (98%) and energy (90%), thereby making it suitable for emerging narrow-band IoT networks. In the deployment of our system in the cardiology institute of our University hospital, we observed that our IoT smart edge helped to increase the availability of physicians by 59%. Hence, our IoT smart edge system is a significant step towards addressing the requirements for global health.