Heuristics for Mobile Object Tracking Problem in Wireless Sensor Networks

  • Authors:

  • Li Liu;Hao Li;Junling Wang;Lian Li;Caihong Li

  • Affiliations:

  • School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, P. R. China 730000 and LRI, Univ Paris-sud and CNRS, Orsay, France F-91405;LRI, Univ Paris-sud and CNRS, Orsay, France F-91405;School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, P. R. China 730000;School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, P. R. China 730000;School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, P. R. China 730000

  • Venue:
  • FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
  • Year:
  • 2009

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Abstract

The network lifetime and application requirement are two fundamental, yet conflicting, design objectives in wireless sensor networks for tracking mobile objects. The application requirement is often correlated to the delay time within which the application can send its sensing data back to the users in tracking networks. In this paper we study the network lifetime maximization problem and the delay time minimization problem together. To make both problems tractable, we have the assumption that each sensor node keeps working since it turns on. And we formulate the network lifetime maximization problem as maximizing the number of sensor nodes who don't turn on, and the delay time minimization problem as minimizing the routing path length, after achieving the required tracking tasks. Since we prove the problems are NP-complete and APX-complete , we propose three heuristic algorithms to solve them. And we present several experiments to show the advantages and disadvantages referring to the network lifetime and the delay time among these three algorithms on three models, random graphs, grids and hypercubes.