English

IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network

Networking and Internet Architecture 2017-02-16 v4 Neural and Evolutionary Computing

Abstract

One important application of the Wireless Sensor Network(WSN) is target tracking, the aim of this application is converging to an event or object in an area. In this paper, we propose an energy-efficient distributed sensor activation protocol based on predicted location technique, called Intelligent Distributed Sensor Activation Algorithm (IDSA). The proposed algorithm predicts the location of target in the next time interval, by analyzing current location and movement history of the target, this prediction is done by computational intelligence. The fewest essential number of sensor nodes within the predicted location will be activated to cover the target. The results show that the proposed method outperforms the existing methods such as Na\"ive and DSA in terms of energy consumption and the number of nodes that was involved in tracking the target.

Keywords

Cite

@article{arxiv.1506.00122,
  title  = {IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network},
  author = {Mohammad Sabokrou and Mahmood Fathy and Mojtaba Hoseini},
  journal= {arXiv preprint arXiv:1506.00122},
  year   = {2017}
}

Comments

We have found several mistake in this our paper. (1) The English writing of paper must improved (2) the experimental results especially Figure 9, 10 and 12 are wrong (3) Some references must revised. We are providing new version of paper. We are concern about, this version make confusion for readers

R2 v1 2026-06-22T09:44:21.141Z