Leveraging data fusion to improve barrier coverage in wireless sensor networks  

作　　者：ZHANG Zhao-liang LI Dong HUANG Ting-pei CUI Li 

机构地区：[1]Institute of Computing Technology, Chinese Academy of Sciences [2]Graduate School of the Chinese Academy of Sciences

出　　处：《The Journal of China Universities of Posts and Telecommunications》2013年第1期26-36,53,共12页中国邮电高校学报（英文版）

基　　金：supported by the National Basic Research Program of China (2011CB302803);the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA060307000);the National Natural Science Foundation of China (61003293);the IoT Development Project of MIIT and MoF under title ‘Research & Development of IoT Application Middleware and Its Industrialization’

摘　　要：Intruder detection and border surveillance are amongst the most promising applications of wireless sensor networks. Barrier coverage formulates these problems as constructing barriers in a long-thin region to detect intruders that cross the region. Existing studies on this topic are not only based on simplistic binary sensing model but also neglect the collaboration employed in many systems. In this paper, we propose a solution which exploits the collaboration of sensors to improve the performance of barrier coverage under probabilistic sensing model. First, the network width requirement, the sensor density and the number of barriers are derived under data fusion model when sensors are randomly distributed. Then, we present an efficient algorithm to construct barriers with a small number of sensors. The theoretical comparison shows that our solution can greatly improve barrier coverage via collaboration of sensors. We also conduct extensive simulations to demonstrate the effectiveness of our solution.Intruder detection and border surveillance are amongst the most promising applications of wireless sensor networks. Barrier coverage formulates these problems as constructing barriers in a long-thin region to detect intruders that cross the region. Existing studies on this topic are not only based on simplistic binary sensing model but also neglect the collaboration employed in many systems. In this paper, we propose a solution which exploits the collaboration of sensors to improve the performance of barrier coverage under probabilistic sensing model. First, the network width requirement, the sensor density and the number of barriers are derived under data fusion model when sensors are randomly distributed. Then, we present an efficient algorithm to construct barriers with a small number of sensors. The theoretical comparison shows that our solution can greatly improve barrier coverage via collaboration of sensors. We also conduct extensive simulations to demonstrate the effectiveness of our solution.

关 键 词：wireless sensor networks COVERAGE DEPLOYMENT data fusion percolation theory 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]