Optimal sensor deployment for value-fusion based detection
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Multi-round sensor deployment for guaranteed barrier Coverage
INFOCOM'10 Proceedings of the 29th conference on Information communications
Control theoretic sensor deployment approach for data fusion based detection
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
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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 optimizationproblem 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.