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A Hierarchical Sub-Chromosome Genetic Algorithm (Hsc-ga) to Optimize Power Consumption and Data Communications Reliability in Wireless Sensor Networks

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Abstract

High reliability and low power consumption are among the major requirements in design of wireless sensor networks (WSNs). In this paper, a multi-objective problem is formulated as a Joint Power consumption and data Reliability (JPR) optimization problem. For this purpose, a connected dominating set (CDS)-based topology control approach is proposed. Our objective is to self-organize the network with minimum interference and power consumption. We consider the power changes into a topology with minimum CDS infrastructure subject to connectivity constraints. Since this problem is NP-hard, it cannot be dealt with using polynomial-time exact algorithms. Therefore, we first present a genetic algorithm taking into consideration problem-specific goals and constraints in an approximated manner called JPR Genetic Algorithm (Jpr-ga). Secondly, a Hierarchical Sub-Chromosome Genetic Algorithm (Hsc-ga) is proposed to obtain more accurate and faster solutions in the large and dense networks. We evaluate these algorithm over different networks topologies to analyse their efficiency. Comparing Jpr-ga and Hsc-ga with two different scenarios reveal that the proposed algorithms can efficiently balance power consumption and data communication reliability of sensor nodes and also prolong the network lifetime in WSNs.

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Acknowledgments

The authors would like to thank Mr. Ehsan Pazouki and members of Sharif Digital Media Lab (DML) for their invaluable cooperation and to thank the anonymous reviewers for their constructive suggestions, which improved the technical quality of the paper. This work was supported by Sharif Advanced Information and Communication Technology Center (AICTC).

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Authors and Affiliations

  1. Digital Media Research Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

    Elahe S. Hosseini, Vahid Esmaeelzadeh & Motahhareh Eslami

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  1. Elahe S. Hosseini
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  2. Vahid Esmaeelzadeh
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  3. Motahhareh Eslami
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Correspondence to Elahe S. Hosseini.

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Hosseini, E.S., Esmaeelzadeh, V. & Eslami, M. A Hierarchical Sub-Chromosome Genetic Algorithm (Hsc-ga) to Optimize Power Consumption and Data Communications Reliability in Wireless Sensor Networks. Wireless Pers Commun 80, 1579–1605 (2015). https://doi.org/10.1007/s11277-014-2101-8

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  • DOI: https://doi.org/10.1007/s11277-014-2101-8

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