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

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

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
CountryUnited States
CitySan Diego
Period5/10/148/10/14

Documents

  • smc2014_postprint

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    Accepted author manuscript (Post-print), 213 KB, PDF document

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