A new routing area displacement prediction for location-based services based on an enhanced ant colony

Mohammad Sharif Daoud, Adrian A. Hopgood, Mustafa A. Al-Fayoumi, Hani Mimi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    In Location-Based Services (LBSs), the service is provided based on the users' locations through location determination and mobility anticipation. Most of the current location prediction research focuses on generalised location models, where the geographic extent is divided into regular shape cells. One such technique is the Mobility Prediction based on an Ant System (MPAS), which depends on the earlier Ant Colony Optimisation (ACO) that suffers from problems such as search stagnation and pheromone update. In this paper, a New Routing Area Displacement Prediction (NRADP) is introduced, which works on the routing-area level instead of the cell level. Experimental results show that the NRADP offers improved effectiveness, higher prediction rate, and a reduced search stagnation ratio in comparison with the MPAS.

    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    PublisherIEEE
    Pages3247-3252
    Number of pages6
    ISBN (Electronic)978-1-4799-3840-7
    DOIs
    Publication statusPublished - 4 Dec 2014
    EventInternational Conference on Systems, Man and Cybernetics - San Diego, United States
    Duration: 5 Oct 20148 Oct 2014

    Publication series

    NameSMC Proceedings Series
    PublisherIEEE
    ISSN (Print)1062-922X

    Conference

    ConferenceInternational Conference on Systems, Man and Cybernetics
    Abbreviated titleSMC 2014
    Country/TerritoryUnited States
    CitySan Diego
    Period5/10/148/10/14

    Keywords

    • Ant colony optimisation
    • Cellular network
    • LBSs
    • Mobility prediction
    • Routing area
    • UMTS

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