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Fast Sensor Placement Algorithms for Fusion-Based Target Detection

10 years 8 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fusion has been shown as an effective technique for improving system detection performance by enabling efficient collaboration among sensors with limited sensing capability. Due to the high cost of network deployment, it is desirable to place sensors at optimal locations to achieve maximum detection performance. However, for sensor networks employing data fusion, optimal sensor placement is a non-linear optimization problem with prohibitive computational complexity. In this paper, we present fast sensor placement algorithms based on a probabilistic data fusion model. Simulation results show that our algorithms can meet the desired detection performance with a small number of sensors while achieving up to 7-fold speedup over the optimal algorithm.
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where RTSS
Authors Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu, Yixin Chen, Jianping Wang
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