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DOI: 10.14569/IJACSA.2017.081043
PDF

Area k-Coverage Optimization Protocol for Heterogeneous Dense Wireless Sensor Networks

Author 1: Hervé Gokou Diédié
Author 2: Boko Aka
Author 3: Michel Babri

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 10, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Detecting redundant nodes and scheduling their activity is mandatory to prolong the lifetime of a densely-deployed wireless sensor network. Provided that the redundancy check and the scheduling phases both help to preserve the coverage ratio and guarantee energy efficiency. However, most of the solutions usually proposed in the literature, tend to allocate a large number of unnecessary neighbor (re)discovery time slots in the dutycycle of the active nodes. Such a shortcoming is detrimental to battery power conservation. In this paper, we propose a crossing points-based heuristic to fast detect redundant nodes even in heterogeneous networks; then, an integer linear program and a local exclusion based strategy to respectively, formulate and solve the sensing unit scheduling problem. Simulations show that the resulting localized asynchronous protocol outperforms some state-of-the-art solutions with respect to coverage preservation and network lifetime enhancement.

Keywords: Coverage; optimization; wireless sensor network; scheduling; GRASP

Hervé Gokou Diédié, Boko Aka and Michel Babri, “Area k-Coverage Optimization Protocol for Heterogeneous Dense Wireless Sensor Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 8(10), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081043

@article{Diédié2017,
title = {Area k-Coverage Optimization Protocol for Heterogeneous Dense Wireless Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081043},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081043},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {10},
author = {Hervé Gokou Diédié and Boko Aka and Michel Babri}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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