An efficient Lagrangean relaxation-based object tracking algorithm in wireless sensor networks.

Frank Yeong-Sung Lin, Cheng-Ta Lee
Author Information
  1. Frank Yeong-Sung Lin: Department of Information Management, National Taiwan University, No 1, Sec 4, Roosevelt Rd, Taipei City 106, Taiwan. yslin@im.ntu.edu.tw

Abstract

In this paper we propose an energy-efficient object tracking algorithm in wireless sensor networks (WSNs). Such sensor networks have to be designed to achieve energy-efficient object tracking for any given arbitrary topology. We consider in particular the bi-directional moving objects with given frequencies for each pair of sensor nodes and link transmission cost. This problem is formulated as a 0/1 integer-programming problem. A Lagrangean relaxation-based (LR-based) heuristic algorithm is proposed for solving the optimization problem. Experimental results showed that the proposed algorithm achieves near optimization in energy-efficient object tracking. Furthermore, the algorithm is very efficient and scalable in terms of the solution time.

Keywords

References

  1. Sensors (Basel). 2009;9(10):7711-32 [PMID: 22408476]
  2. Sensors (Basel). 2009;9(3):1518-33 [PMID: 22573969]

MeSH Term

Algorithms
Models, Theoretical
Remote Sensing Technology
Wireless Technology

Word Cloud

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