A new routing area displacement prediction for location-based services based on an enhanced ant colony
Research output: Chapter in Book/Report/Conference proceeding › Conference 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.
|Title of host publication||2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)|
|Number of pages||6|
|Publication status||Published - 4 Dec 2014|
|Event||International Conference on Systems, Man and Cybernetics - San Diego, United States|
Duration: 5 Oct 2014 → 8 Oct 2014
|Name||SMC Proceedings Series|
|Conference||International Conference on Systems, Man and Cybernetics|
|Abbreviated title||SMC 2014|
|Period||5/10/14 → 8/10/14|
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Accepted author manuscript (Post-print), 213 KB, PDF document