A class of mobile motion prediction algorithms for wireless mobile computing and communication
Mobile Networks and Applications - Special issue: routing in mobile communications networks
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A comparison of mechanisms for improving mobile IP handoff latency for end-to-end TCP
Proceedings of the 9th annual international conference on Mobile computing and networking
A Data Mining Algorithm for Generalized Web Prefetching
IEEE Transactions on Knowledge and Data Engineering
Modeling mobility for vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Perfect Simulations for Random Trip Mobility Models
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
A data mining approach for location prediction in mobile environments
Data & Knowledge Engineering
A trie-based APRIORI implementation for mining frequent item sequences
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Initiative movement prediction assisted adaptive handover trigger scheme in fast MIPv6
Computer Communications
| Hi-index | 0.00 |
This paper introduces a prediction assisted fast handover protocol (PA-FMIP) that integrates a mobility prediction algorithm into a fast reactive handover scheme. A simple data mining approach is used to implement the prediction algorithm based solely on the user's mobility history between wireless IP subnets. Through simulation, the accuracy of the algorithm is evaluated over a city section of West University Area in Texas by a single user traveling with vehicular mobility. The optimal prediction parameters are found for an average accuracy of 92.5%. The handover performance of the PA-FMIP scheme is compared to MIPv6, proactive FMIPv6, reactive FMIPv6 and Simultaneous Bindings. Simulation results show a 43% decrease in handover packet loss over reactive FMIPv6 and an improvement in TCP throughput. The overhead incurred as a result of the packet forwarding is 50% less than that of NeighborCasting in the same scenario.