Optimal Receiver Placement for K -barrier Coverage in Passive Bistatic Radar Sensor Networks

Author:

Chen Jiaoyan1,Yang Laurence T.2,Deng Xianjun3ORCID,Hong Xianggong1,Yi Lingzhi3

Affiliation:

1. Nanchang University, Nanchang, Jiangxi, China

2. St. Francis Xavier University, Nova Scotia, Canada

3. University of South China, Hengyang, Hunan, China

Abstract

The improvement of coverage quality in the construction of multiple-barrier coverage is a critical problem in a wireless sensor network. In this article, we investigate the K -barrier coverage construction problem in passive bistatic radar sensor networks. In contrast to traditional bistatic radar networks, the transmitters in a passive bistatic radar network are predeployed and noncooperative. To construct K barriers, we need to deploy receivers that couple with predeployed transmitters to build continuous barriers. In this work, we focus on the minimum number of receivers problem of constructing K -barrier coverage, where the minimum number of receivers is based on the predeployed transmitters. To handle this problem, we first investigate the optimal placement of receivers between adjacent transmitters for a sub-barrier formation and then determine the optimal placement of receivers for the one-barrier construction. For multiple-barrier coverage construction, we introduce a weighted transmitter graph (WTG) to describe the relation among different transmitters, where the weight in the graph is the minimum number of receivers needed for these two transmitters for a sub-barrier formation. Based on WTG, the minimum receivers problem changes to a problem of how to find K -disjoint paths with the minimum total weight in the graph. For large-scale networks, we also propose two efficient heuristic algorithms to solve the corresponding problem. Finally, we conduct extensive experiments to validate the correctness and the efficiency of the proposed algorithms.

Funder

China Scholarship Council

Natural Sciences and Engineering Research Council of Canada

Research Foundation of Education Bureau of Hunan Province

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

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