DocumentCode :
2160342
Title :
Energy-efficient barrier coverage in bistatic radar sensor networks
Author :
Wang, Ruiqi ; He, Shibo ; Chen, Jiming ; Shi, Zhiguo ; Hou, Fen
Author_Institution :
State Key Lab. of Industrial Control Technology, Zhejiang University, China
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
6743
Lastpage :
6748
Abstract :
By taking advantage of active radio waves, radar sensors can provide high-accuracy target detection over traditional passive sensors. In this paper, we study barrier coverage in bistatic radar sensor networks (BRSNs), which consist of a set of transmitter radars and receiver radars. Barrier coverage in BRSNs is much more difficult than that in traditional sensor networks as the sensing area of a bistatic radar depends on the positions of both transmitter and receiver, and is typically a Cassini oval. Moreover, different transmitters and receivers can pair with each other by choosing the same frequency and thus the sensing network topology can be quite different in different time slots. To tackle this challenge, we first investigate the characteristic of the ε-covered area of a bistatic radar, then we represent a bistatic radar with a virtual point at the middle point of the line segment formed by the transmitter and receiver. With these representations, we formulate the barrier coverage problem in BRSNs as (k, ε)-Minimum Weight Barrier Coverage Problem ((k, ε)-MWBCP). By constructing a directed coverage graph, we transform the (k, ε)-MWBCP into finding k node-disjoint shortest paths and propose an energy-efficient algorithm called (k, ε)-MWBCA to solve the problem within polynomial time. Extensive simulations are conducted to demonstrate the performance of our proposed algorithm.
Keywords :
Belts; Bistatic radar; Radio transmitters; Receivers; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7249400
Filename :
7249400
Link To Document :
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