Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization

Hong-Chi Shih, Shu-Chuan Chu, John Roddick, Mao-Hsiung Hung, Jeng-Shyang Pan

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    Abstract

    Power consumption is one of the most important problems for wireless sensor networks because of the battery limitation in each sensor. This paper presents an ant colony optimization- (ACO-) based routing algorithm to reduce power consumption. First, a grade table is built and referred to generate several possible routing paths. Then, the ACO explores these paths to reduce the power consumption of the nodes. The simulations indicate that the proposed algorithm obtains more balanced transmission among the nodes and reduces the power consumption of the routing.

    Original languageEnglish
    Pages464-467
    Number of pages4
    DOIs
    Publication statusPublished - 27 Dec 2010
    Event2010 International Conference on Computational Aspects of Social Networks (CASoN 2010) -
    Duration: 26 Sep 2010 → …

    Conference

    Conference2010 International Conference on Computational Aspects of Social Networks (CASoN 2010)
    Period26/09/10 → …

    Keywords

    • Ant colony optimization
    • Power reduction
    • Wireless sensor network

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  • Cite this

    Shih, H-C., Chu, S-C., Roddick, J., Hung, M-H., & Pan, J-S. (2010). Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization. 464-467. Paper presented at 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010), . https://doi.org/10.1109/CASoN.2010.110