期刊名称：International Journal of Computer Science and Engineering Communications
电子版ISSN：2347-8586
出版年度：2015
期号：3910
页码：1034-1039
出版社：Scientist Link Group of Publications
摘要：Target tracking is one of the key applications of wireless sensor networks (WSNs). Existing work mostly requires organizing groups of sensor nodes with measurements of a target’s movements or accurate distance measurements from the nodes to the intention, and predicting those activities. These are, however, often not easy to precisely achieve in practice, more than ever in the case of impulsive environments, sensor faults, etc. To explore efficient use of mobile sensors to address the limitations of static WSNs in target detection, in proposed system proposes a data fusion model that enables static and mobile sensors to effectively collaborate in target exposure. An optimal sensor movement scheduling algorithm is developed to minimize the total moving distance of sensors while achieving a set of spatiotemporal performance requirements including high detection probability, low method false alarm rate and enclosed detection delay. The effectiveness of proposed approach is validated by extensive simulations based on real data traces collected by 23 sensor nodes.
