Design of wireless sensor network for multi-point surveillance of a moving target based on the relationship between tracking probability and sensor density

Authors:
Kazuya Tsukamoto;Hirofumi Ueda;Hitomi Tamura;Kenji Kawahara;Yuji Oie
Affiliations:
Department of Computer Science and Electronics, Kyushu Institute of Technology, Iizuka, Japan;Department of Computer Science and Electronics, Kyushu Institute of Technology, Iizuka, Japan;Network Design Research Center, Kyushu Institute of Technology, Kitakyushu, Japan;Department of Computer Science and Electronics, Kyushu Institute of Technology, Iizuka, Japan;Department of Computer Science and Electronics, Kyushu Institute of Technology, Iizuka, Japan
Venue:
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Year:
2009

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Abstract

In this paper, we focus on the problem of tracking a moving target in a wireless sensor network (WSN) in which the capability of each sensor is relatively limited in order to construct large-scale WSNs at a reasonable price. In our prior study, we proposed a simple multi-point surveillance scheme for a moving target in a WSN and demonstrated that the scheme achieved high tracking probability with low power consumption. However, we have not suggested guidelines for designing the WSN to completely satisfy the wide range of user requirements. Therefore, in this study, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship. As a result, we show guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.