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Hybrid multiobjective approach for designing wireless sensor networks

Published: 26 October 2009 Publication History
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  • Abstract

    The increasing demand for Wireless Sensor Networks (WSN) has intensified studies which aim to obtain energy-efficient solutions, since the energy storage limitation is critical in those systems. However, there are other aspects which usually must be ensured in order to get an acceptable performance of WSNs, such as area coverage and network connectivity. This paper proposes a procedure for network performance enhancement: a multiobjective hybrid approach for solving the Dynamic Coverage and Connectivity Problem in flat WSN subjected to node failures.Results achieved for a test instance show that the hybrid approach can improve the performance of the WSN obtaining good solutions with a considerably smaller computational cost than ILP.

    References

    [1]
    S. Park, A. Savvides, and M.B. Srivastava, "Simulating networks of wireless sensors," in Proc. Conf. on Winter Simulation (WSC'01), Washington, USA, 2001, pp. 1330--1338.
    [2]
    F.G. Nakamura, F.P. Quintao, G.C. Menezes, and G.R. Mateus, "An optimal node scheduling for flat wireless sensor networks," in Proc. IEEE Int. Conf. Networking (ICN'05), vol. 3420, 2005, pp. 475--483.
    [3]
    Q. Wu, N. Rao, J. Barhen, S. Iyengar, V. Vaishnavi, H. Qi, and K. Chakrabarty, "On computing mobile agent routs for data fusion in distributed sensor network," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, pp. 740--753, 2004.
    [4]
    F.V.C. Martins, F.G. Nakamura, F.P. Quintao, and G.R. Mateus, "Model and algorithms for the density, coverage and connectivity control problem in flat WSNs," in Proc. Int. Network Optimization Conf. (INOC'07), 2007.
    [5]
    F.V.C. Martins ; E.G. Carrano; R.H.C. Takahashi; E.F. Wanner; G.R. Mateus, "A dynamic multiobjective hybrid approach for designing wireless sensor networks," In IEEE CEC 2009, 2009, Trondheim. Proceedings of the 2009 IEEE CEC, 2009.
    [6]
    N. Srinivas and K. Deb, "Multiobjective optimization using non-dominated sorting in genetic algorithms, Evolutionary Computation, vol. 2, no. 3, pp. 221--248, 1994.

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        cover image ACM Conferences
        MSWiM '09: Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
        October 2009
        438 pages
        ISBN:9781605586168
        DOI:10.1145/1641804
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 26 October 2009

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        Author Tags

        1. density control
        2. hybrid algortihms
        3. wireless sensor

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