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    Trail-using ant behavior based energy-efficient routing protocol in wireless sensor networks.

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    Authors
    Jung, Soon-gyo
    Kang, Byungseok
    Yeoum, Sanggil
    Choo, Hyunseung
    Affiliation
    Sungkyunkwan University
    Issue Date
    2016-04-06
    
    Metadata
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    Abstract
    Swarm Intelligence (SI) observes the collective behavior of social insects and other animal societies. Ant Colony Optimization (ACO) algorithm is one of the popular algorithms in SI. In the last decade, several routing protocols based on ACO algorithm have been developed for Wireless Sensor Networks (WSNs). Such routing protocols are very flexible in distributed system but generate a lot of additional traffic and thus increase communication overhead. This paper proposes a new routing protocol reducing the overhead to provide energy efficiency. The proposed protocol adopts not only the foraging behavior of ant colony but also the trail-using behavior which has never been adopted in routing. By employing the behaviors, the protocol establishes and manages the routing trails energy efficiently in the whole network. Simulation results show that the proposed protocol has low communication overhead and reduces up to 55% energy consumption compared to the existing ACO algorithm.
    Citation
    Jung, S.G. et al. (2016) 'Trail-using ant behavior based energy-efficient routing protocol in wireless sensor networks', International Journal of Distributed Sensor Networks, 12(4), p.1-10. doi: 10.1155/2016/7350427.
    Publisher
    SAGE Publications
    Journal
    International Journal of Distributed Sensor Networks
    URI
    http://hdl.handle.net/10545/623729
    DOI
    10.1155/2016/7350427
    Additional Links
    https://journals.sagepub.com/doi/10.1155/2016/7350427
    Type
    Article
    Language
    en
    ISSN
    1550-1329
    EISSN
    1550-1477
    ae974a485f413a2113503eed53cd6c53
    10.1155/2016/7350427
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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