Fuzzy online location management in mobile computing environments

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.

Research highlights
► Use of Fuzzy logic to predict users in a mobile environment.
► 95% accuracy in predicting users’ locations.
► Save more than 50% network cost for synthetic networks and around 75% for real networks.
► Easy to implement and deploy in real networks.