Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Barrier coverage with wireless sensors
Proceedings of the 11th annual international conference on Mobile computing and networking
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Passive diagnosis for wireless sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Quality of Trilateration: Confidence-Based Iterative Localization
IEEE Transactions on Parallel and Distributed Systems
Coverage by randomly deployed wireless sensor networks
IEEE Transactions on Information Theory
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Target locating is a kernel and challenging function of many applications based on wireless sensor networks. Many existing approaches of target locating employ the binary detection model. In this paper, we first propose a probabilistic-based detection model for wireless sensor networks in a threedimensional region, which is more realistic in reality. We further design a probability-based target locating algorithm and evaluate this algorithm under four typical deployment schemes of wireless sensor networks. Simulation results show that our simple and effective algorithm can locate the target and save much energy during the tracking process of a moving target.