Wireless and Mobile Network Architectures
Wireless and Mobile Network Architectures
The Use of a Hopfield Neural Network in Solving the Mobility Management Problem
ICPS '04 Proceedings of the The IEEE/ACS International Conference on Pervasive Services
A Genetic Algorithm for Finding Optimal Location Area Configurations for Mobility Management
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
A Cost Efficient Location Management Technique for Mobile Users with Frequently Visited Locations
CNSR '06 Proceedings of the 4th Annual Communication Networks and Services Research Conference
A Simulated Annealing approach for mobile location management
Computer Communications
Clustering techniques for dynamic location management in mobile computing
Journal of Parallel and Distributed Computing
A modified hopfield network for mobility management
Wireless Communications & Mobile Computing - Resources and Mobility Management in Wireless Networks
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This paper presents a new approach, namely Intelligent Fuzzy Online Location Management Strategy (IFOLMS), based on Fuzzy clustering techniques to solve the mobile location management problem. Using a Fuzzy location estimator in this technique, mobile users' past movements are used in making future paging decisions by the network. IFOLMS has the potential to lead to massive savings in the number of network signal transactions that must be made to locate users. Performance of the proposed approach has been measured by using several test networks; it shows promising results - around 50% reduction in network cost - when compared to many of the existing location management techniques (including GSM). Results also provide new insights into the mobility management problem and its associated performance issues.