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Modeling of Location Estimation for Object Tracking in WSN

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  • Hung-Chi Chu
  • Tsung-Han Lee
  • Lin-huang Chang
  • Chung-Jie Li

Abstract

Location estimation for object tracking is one of the important topics in the research of wireless sensor networks (WSNs). Recently, many location estimation or position schemes in WSN have been proposed. In this paper, we will propose the procedure and modeling of location estimation for object tracking in WSN. The designed modeling is a simple scheme without complex processing. We will use Matlab to conduct the simulation and numerical analyses to find the optimal modeling variables. The analyses with different variables will include object moving model, sensing radius, model weighting value α, and power‐level increasing ratio k of neighboring sensor nodes. For practical consideration, we will also carry out the shadowing model for analysis.

Suggested Citation

  • Hung-Chi Chu & Tsung-Han Lee & Lin-huang Chang & Chung-Jie Li, 2013. "Modeling of Location Estimation for Object Tracking in WSN," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:541240
    DOI: 10.1155/2013/541240
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    References listed on IDEAS

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    1. Peng Gao & Weiren Shi & Wei Zhou & Hongbing Li & Xiaogang Wang, 2013. "A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 949285-9492, March.
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