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Two-phase node deployment for target coverage in rechargeable WSNs using genetic algorithm and integer linear programming

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Abstract

Node deployment is a matter of considerable concern in designing wireless sensor networks (WSNs). This paper studies this issue in the context of rechargeable WSNs (RWSNs). We propose an efficient algorithm, namely node deployment for target coverage in RWSNs (NDTCR), which determines the number and positions of installed sensors in two phases. The first phase applies genetic algorithm to construct a mesh over a subset of positions. The mentioned mesh covers the targets and connects them to the sink. In the second phase of NDTCR, we propose an integer linear programming (ILP) model to install some sensors at each position of the mesh. The advantage of applying the first phase is that it prunes the solution space considerably. Therefore, the proposed ILP model can be solved in a reasonable time. The experimental results demonstrate that NDTCR requires 29% fewer sensors on average in comparison with the previous approaches.

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Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Mahsa Zameni, Aref Rezaei & Leili Farzinvash

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  1. Mahsa Zameni
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Correspondence to Leili Farzinvash.

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Zameni, M., Rezaei, A. & Farzinvash, L. Two-phase node deployment for target coverage in rechargeable WSNs using genetic algorithm and integer linear programming. J Supercomput 77, 4172–4200 (2021). https://doi.org/10.1007/s11227-020-03431-7

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