A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
A new class of particle filters for random dynamic systems with unknown statistics
EURASIP Journal on Applied Signal Processing
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
Target Tracking by Particle Filtering in Binary Sensor Networks
IEEE Transactions on Signal Processing
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In this paper, a new sensor selection scheme for target tracking in binary sensor networks using auxiliary particle filter is proposed that leads to computation complexity reduction. Binary sensor networks provide a set of binary signals based on presence or absence of target in detection region of sensors. Computation complexity of the particle filtering can be a major problem for its practical use in this application. We introduce a criterion for selecting neighbors for each sensor, and computation for target tracking is limited to one neighborhood of sensors, which is identified as the most important and effective neighborhood. Number of Floating-point Operations (FLOP) is considered as complexity measure in simulations, and accuracy of algorithms is investigated through Root Mean Square Error (RMSE). Simulation results show that our new method is less computationally complex in compare with an algorithm that is based on common auxiliary particle filter, and preserves the same accuracy.