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Exact approaches for lifetime maximization in connectivity constrained wireless multi-role sensor networks

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  • Castaño, Fabian
  • Bourreau, Eric
  • Velasco, Nubia
  • Rossi, André
  • Sevaux, Marc

Abstract

In this paper, we consider the duty scheduling of sensor activities in wireless sensor networks to maximize the lifetime. We address full target coverage problems contemplating sensors used for sensing data and transmit it to the base station through multi-hop communication as well as sensors used only for communication purposes. Subsets of sensors (also called covers) are generated. Those covers are able to satisfy the coverage requirements as well as the connection to the base station. Thus, maximum lifetime can be obtained by identifying the optimal covers and allocate them an operation time. The problem is solved through a column generation approach decomposed in a master problem used to allocate the optimal time interval during which covers are used and in a pricing subproblem used to identify the covers leading to maximum lifetime. Additionally, Branch-and-Cut based on Benders’ decomposition and constraint programming approaches are used to solve the pricing subproblem. The approach is tested on randomly generated instances. The computational results demonstrate the efficiency of the proposed approach to solve the maximum network lifetime problem in wireless sensor networks with up to 500 sensors.

Suggested Citation

  • Castaño, Fabian & Bourreau, Eric & Velasco, Nubia & Rossi, André & Sevaux, Marc, 2015. "Exact approaches for lifetime maximization in connectivity constrained wireless multi-role sensor networks," European Journal of Operational Research, Elsevier, vol. 241(1), pages 28-38.
    • Handle: RePEc:eee:ejores:v:241:y:2015:i:1:p:28-38
    DOI: 10.1016/j.ejor.2014.08.013
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    References listed on IDEAS

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    1. Cerulli, R. & De Donato, R. & Raiconi, A., 2012. "Exact and heuristic methods to maximize network lifetime in wireless sensor networks with adjustable sensing ranges," European Journal of Operational Research, Elsevier, vol. 220(1), pages 58-66.
    2. Alfieri, A. & Bianco, A. & Brandimarte, P. & Chiasserini, C.F., 2007. "Maximizing system lifetime in wireless sensor networks," European Journal of Operational Research, Elsevier, vol. 181(1), pages 390-402, August.
    3. François Vanderbeck, 2005. "Implementing Mixed Integer Column Generation," Springer Books, in: Guy Desaulniers & Jacques Desrosiers & Marius M. Solomon (ed.), Column Generation, chapter 0, pages 331-358, Springer.
    4. de Sá, Elisangela Martins & de Camargo, Ricardo Saraiva & de Miranda, Gilberto, 2013. "An improved Benders decomposition algorithm for the tree of hubs location problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 185-202.
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    Cited by:

    1. Lersteau, Charly & Rossi, André & Sevaux, Marc, 2016. "Robust scheduling of wireless sensor networks for target tracking under uncertainty," European Journal of Operational Research, Elsevier, vol. 252(2), pages 407-417.
    2. Keskin, Muhammed Emre, 2017. "A column generation heuristic for optimal wireless sensor network design with mobile sinks," European Journal of Operational Research, Elsevier, vol. 260(1), pages 291-304.
    3. Lersteau, Charly & Rossi, André & Sevaux, Marc, 2018. "Minimum energy target tracking with coverage guarantee in wireless sensor networks," European Journal of Operational Research, Elsevier, vol. 265(3), pages 882-894.

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