Target tracking is an important research in Wireless Sensor Network (WSN), which detects and estimates the event source based on the data of multiple sensors. In this domain, the accuracy of tracking, the choosing of communication nodes and the real-time performance are the main direction of research. In this paper, the local density and distributed filter are investigated. Based on those above, a lightweight filter-based target tracking model is proposed, which use the local density to determine the communication nodes, and use the distributed filter to reduce the interval of sampling. The simulation shows the local density-based communication algorithm is stable and flexible.
Local density Distributed filer Target tracking WSN
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