IEEE 2017-2018 Project Titles on Wireless Communications

In this paper, a two-layer optimized railway monitoring system using Wi-Fi and ZigBee interfaced wireless sensor network (WSN) has been proposed for optimized bandwidth and power requirements. In the proposed network, a two-layer structure, i.e., wireless local area network (WLAN) and wireless personal area network (WPAN) of WSN is implemented and analyzed. The two-layer structure is implemented to reduce the unbalance load on gateway sensor node and intermediate wireless sensor nodes. In the first layer of the proposed architecture, WPAN is designed using ZigBee due to its low-power consumption and the second layer WLAN is designed using Wi-Fi due to high data rate. The proposed architecture has provided reduced power that is less than the half of the purely Wi-Fi based network still maintaining the bandwidth requirements.
This paper proposes a state-of-the-art algorithm for a real time charging recommendation for an electric vehicle (EV) driver based on an accurate real-time range indicator system to avoid range anxiety. The charging recommendation algorithm alerts the driver when charging is deemed required for the selected route. This algorithm determines the nearest charging location obtained using GPS based on an accurate estimation of SoC at the destination and when charging determines the optimum charging time required by the battery to have sufficient energy to reach the destination. The graphical user interface (GUI) of the real-time range indicator system is also used to show the driver an accurate estimation of the remaining range to destination and the current state of charge (SoC). The results from simulations of a range of routes validate the proposed algorithm.
Wireless sensor network become the most important part in any technology that need to monitor the environment. One of the new trends that need wireless sensor network is military applications. Some of the previous studies used Bluetooth module to send the measured weather factors wirelessly from the weather factors monitoring system to the central station. The problem of using Bluetooth module is limited range of it (10 m at one mill watt transmit power). Moreover, some measured weather factors expose to errors especially if these factors depend on critical events like missing missile target, which lead to loss in human and expensive material. The main objective of this paper is to overcome these problems by designing accurate monitoring system and use X-bee wireless communication module that operate within 2.4 GHz frequency band. The design consists of three sensors nodes and central station. The methodology includes three steps. Firstly, every sensor node read the weather factors several times. Secondly, the sensors nodes send these measured weather factors to the central station wirelessly using X-bee module. Lastly, the central station calculates the average of the received measured weather factors to get accurate results, then store these results in a database and display it in monitoring system. The design is more accurate and very simple. This paper recommends that using a wide range of wireless communication module between sensors nods and central station.
A track-borne energy transducer is a smart device for harvesting energy of trains or rail transportation systems. In this paper, the authors extend this application through introducing a self-powered ZigBee wireless sensor node. The proposed hardware prototype consists of a ZigBee coordinator at road-side and a series of sensors (Accelerometer, temperature sensor, humidity sensor, and infrared detector) connected to a ZigBee end device at rail-side. The ZigBee end device is powered by the magnetic levitation energy harvester and communicated wirelessly with the ZigBee coordinator. The magnetic levitation oscillator is selected due to its broad-band response characteristics. The results indicate a peak-peak output voltage of 2.3 V under the condition that the vehicle travels over the rail-borne device at the speed of 105 km/h.
This paper presents the design and prototype of a wireless health monitoring system using mobile phone accessories. We focus on measuring real time Electrocardiogram (ECG) and Heart rate monitoring using a smartphone case. With the increasing number of cardiac patients worldwide, this design can be used for early detection of heart diseases. Unlike most of the existing methods that use an optical sensor to monitor heart rate, our approach is to measure real time ECG with dry electrodes placed on smartphone case. The collected ECG signal can be stored and analyzed in real time through a smartphone application for prognosis and diagnosis. The proposed hardware system consists of a single chip microcontroller (RFduino) embedded with Bluetooth low energy (BLE), hence miniaturizing the size and prolonging battery life. The system called "Smart Case" has been tested in a lab environment. We also designed a 3D printed smartphone case to validate the feasibly of the system. The results demonstrated that the proposed system could be comparable to medical grade devices.
Monitoring and analysing the integrity of structures and machinery is important for economic, operational, and mission critical reasons. In recent years, there has been growing interest in performing structural health monitoring (SHM) by monitoring structural dynamic response via micro electro-mechanical system accelerometers. In addition, the possibility of embedding these devices within a wireless sensor network and allowing measured data to be wirelessly transmitted has contributed to the development of many new applications not possible just a few years ago. These sensors, for use in SHM applications, need to detect low-amplitude and low frequency vibrations, operations which are not always feasible with the conventional low-cost sensor boards. Since the late 1990s, several accelerometer board prototypes have been proposed for achieving accurate vibration monitoring. This paper presents a summary review of the systems developed in the ten years following 2006 with particular emphasis on the sensing characteristics, performances, and applications of the designed sensor boards for microvibration detection and analysis.
This paper proposes a state-of-the-art algorithm for a real time charging recommendation for an electric vehicle (EV) driver based on an accurate real-time range indicator system to avoid range anxiety. The charging recommendation algorithm alerts the driver when charging is deemed required for the selected route. This algorithm determines the nearest charging location obtained using GPS based on an accurate estimation of SoC at the destination and when charging determines the optimum charging time required by the battery to have sufficient energy to reach the destination. The graphical user interface (GUI) of the real-time range indicator system is also used to show the driver an accurate estimation of the remaining range to destination and the current state of charge (SoC). The results from simulations of a range of routes validate the proposed algorithm.
Wireless sensor network become the most important part in any technology that need to monitor the environment. One of the new trends that need wireless sensor network is military applications. Some of the previous studies used Bluetooth module to send the measured weather factors wirelessly from the weather factors monitoring system to the central station. The problem of using Bluetooth module is limited range of it (10 m at one mill watt transmit power). Moreover, some measured weather factors expose to errors especially if these factors depend on critical events like missing missile target, which lead to loss in human and expensive material. The main objective of this paper is to overcome these problems by designing accurate monitoring system and use X-bee wireless communication module that operate within 2.4 GHz frequency band. The design consists of three sensors nodes and central station. The methodology includes three steps. Firstly, every sensor node read the weather factors several times. Secondly, the sensors nodes send these measured weather factors to the central station wirelessly using X-bee module. Lastly, the central station calculates the average of the received measured weather factors to get accurate results, then store these results in a database and display it in monitoring system. The design is more accurate and very simple. This paper recommends that using a wide range of wireless communication module between sensors nods and central station.
Vibration monitoring and analysis techniques are used increasingly for predictive maintenance. While traditional vibration monitoring relies on wired sensor networks, recent industrial technologies such as WirelessHART, ISA100.11a, and IEEE 802.15.4e have brought a paradigm shift in the automation sector by integrating the flexibility of wireless technologies with the versatility of Internet tools. However, these wireless technologies aren't designed to support strict resource constraint devices, and thus are still unable to fulfill the needs of many modern industrial applications. This article describes a new industrial wireless monitoring system capable of supporting energy-harvested devices through intelligent sensing and network management.
Recently, the frequent coal mine safety accidents have caused serious casualties and huge economic losses. It is urgent for the global mining industry to increase operational efficiency and improve overall mining safety. This paper proposes a lightweight mashup middleware to achieve remote monitoring and control automation of underground physical sensor devices. First, the cluster tree based on ZigBee Wireless Sensor Network (WSN) is deployed in an underground coal mine, and propose an Open Service Gateway initiative (OSGi)-based uniform devices access framework. Then, propose a uniform message space and data distribution model, and also, a lightweight services mashup approach is implemented. With the help of visualization technology, the graphical user interface of different underground physical sensor devices could be created, which allows the sensors to combine with other resources easily. Besides, four types of coal mine safety monitoring and control automation scenarios are illustrated, and the performance has also been measured and analyzed. It has been proved that our lightweight mashup middleware can reduce the costs efficiently to create coal mine safety monitoring and control automation applications.