A Lightweight Filter-Based Target Tracking Model in Wireless Sensor Network

  • Chao Li
  • Zhenjiang ZhangEmail author
  • Yun Liu
  • Fei Xiong
  • Jian Li
  • Bo Shen
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 258)


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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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Chao Li
    • 1
  • Zhenjiang Zhang
    • 2
    Email author
  • Yun Liu
    • 1
  • Fei Xiong
    • 1
  • Jian Li
    • 1
  • Bo Shen
    • 1
  1. 1.Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Department of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina
  2. 2.School of Software EngineeringBeijing Jiaotong UniversityBeijingChina

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