Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks

Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. This paper presents an energy-efficient selection of cooperative nodes. In the proposed method, the target detection probability is estimated by single-node processing based on particle filter. Then, an objective function for collaborative target tracking in wireless sensor networks is constructed according to the information utility and the remaining energy of sensor nodes. With this understanding, a dynamic node selection scheme based on genetic algorithms is proposed, which can optimize the tradeoff between the accuracy of tracking and the energy cost of nodes. Simulations demonstrate its superior performance in estimating the target location and saving sensor nodes energy.

• Publication year

  2013

• Venue

  Int. J. Distributed Sens. Networks

• Publication date

  2013-01-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1155/2013/830950
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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