Transmission Line Status Monitoring System Based on Ad Hoc Network

2014 ◽  
Vol 556-562 ◽  
pp. 2765-2771
Author(s):  
Heng Gui Wang ◽  
Ying Jie Yan ◽  
Ge Hao Sheng

Based on the basic principle of wireless sensor networks, the communication platform of a new ZigBee wireless ad hoc network is applied to the on-line monitoring system of transmission lines. In this article, the hardware and software platform architecture of the system is introduced, the scheme and algorithm for cluster network of monitoring nodes based on ZigBee technology are described; moreover a reliable, energy-saving and efficient data transmission method is designed. Application results show that ZigBee technology has the features such as self-organization, dynamic topology, large network capacity and data-centeredness, and possess a distinct advantage in on-line monitoring of electrical equipments.

The number of deaths resulting from road accidents and mishaps has increased at an alarming rate over the years. Road transportation is the most popularly used means of transportation in developing countries like Nigeria and most of these road accidents are associated with reckless driving habits. Context-aware systems provide intelligent recommendations allowing digital devices to make correct and timely recommendations when required. Furthermore, in a Vehicular Ad-hoc Network (VANET), communication links between vehicles and roadside units are improved thus enabling vehicle and road safety. Hence, a non-intrusive driver behaviour detection system that incorporates context-aware monitoring features in VANET is proposed in this study. By making use of a one-dimensional highway (1D) road with one-way traffic movement and incorporating GSM technology, irregular actions (high speed, alcohol while driving, and pressure) exhibited by drivers are monitored and alerts are sent to other nearby vehicles and roadside units to avoid accidents. The proposed system adopted a real-time VANET prototype with three entities involved in the context-aware driver’s behaviour monitoring system namely, the driver, vehicle, and environment. The analytical tests with actual data set indicate that, when detected, the model measures the pace of the vehicle, the level of alcohol in the breath, and the driver's heart rate in-breath per minute (BPM). Therefore, it can be used as an appropriate model for the Context-aware driver’s monitoring system in VANET.


2013 ◽  
Vol 05 (04) ◽  
pp. 570-574
Author(s):  
Kai Chen ◽  
Zi-jian Zhao ◽  
Yu-ning Zhang ◽  
Yang-chun Cheng ◽  
Yuan Dai

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