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A Decentralized Positioning and Tracking Method for Wireless Sensor Networks Based on a Low-Complexity Incremental Algorithm

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2 Author(s)
Chin-Liang Wang ; Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Dong-Shing Wu

This paper presents a low-complexity incremental (LCI) algorithm for target positioning and tracking in wireless sensor networks. The proposed positioning scheme calculates the estimated location of a target as a nonlinear least squares (NLS) problem based on the distance estimation and solves the optimization problem in an iterative manner using the LCI algorithm. In the decentralized scheme, a participating sensor estimates a target's current location, and then passes that information on to the next participating sensor, which calculates the target's newest location estimate. In addition, a convergence analysis is given to show the convergence behavior of the LCI-based method. Computer simulation results demonstrate that the proposed algorithm has higher estimation accuracy than previous related algorithms in both stationary and moving target scenarios.

Published in:

Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th

Date of Conference:

20-23 Sept. 2009