Title: Information quality-aware tracking in uncertain sensor network

Authors: Qianqian Ren; Jianzhong Li

Addresses: Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; School of Computer Science and Technology, Heilongjiang University, Harbin, China ' Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China

Abstract: This paper proposes an information quality (IQ) aware tracking algorithm that reduces energy consumption for moving target tracking in uncertain sensor networks with guarantee of given quality constraints. We first model the uncertainty in sensor networks. Then, we map information quality to the combination of sensed data error, residual energy and energy cost of sensor nodes. Moreover, the problem of IQ-aware nodes selection is induced and an energy-efficient tracking algorithm based on nodes selection is presented. Finally, a comprehensive set of simulations is presented. We conclude that the proposed tracking algorithm yields excellent tracking performance in sensor networks under uncertainty.

Keywords: sensor networks; target tracking; information quality; uncertainty; energy consumption; energy efficiency; simulation; tracking performance.

DOI: 10.1504/IJSNET.2013.056320

International Journal of Sensor Networks, 2013 Vol.14 No.1, pp.33 - 41

Published online: 09 Sep 2013 *

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