Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Wcdma for Umts
Policy-Enabled Handoffs Across Heterogeneous Wireless Networks
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Vertical handover policies for common radio resource management: Research Articles
International Journal of Communication Systems
Analysis of handoff in a location-aware vertical multi-access network
Computer Networks: The International Journal of Computer and Telecommunications Networking - Wireless IP through integration of wireless LAN and cellular networks
IEEE Wireless Communications
A survey of recent advances in fuzzy logic in telecommunications networks and new challenges
IEEE Transactions on Fuzzy Systems
Terminal-Controlled Mobility Management in Heterogeneous Wireless Networks
IEEE Communications Magazine
Automated network selection in a heterogeneous wireless network environment
IEEE Network: The Magazine of Global Internetworking
Wireless propagation channel modeling for optimized Handoff algorithms in wireless LANs
Computers and Electrical Engineering
Load-balancing metrics: Comparison for infrastructure-based wireless networks
Computers and Electrical Engineering
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In the next generation heterogeneous wireless networks, a mobile terminal (MT) with a multi-interface may have network access from different service providers using various technologies. In spite of this heterogeneity, seamless intersystem mobility is a mandatory requirement. One of the major challenges for seamless mobility is the creation of a vertical handover scheme, which is for users that move between different types of networks. In this article a seamless mobility handover scheme is presented. The novelty of the proposed scheme is that handover is fully controlled by the terminal. To improve the performance of the proposed handover scheme, a network discovery algorithm with fuzzy logic and a handover decision algorithm using multi criteria decision making (MCDM) based on vague sets are derived, which are both user-centric. With these algorithms, the handover scheme is power-saving, cost-aware, and performance-aware. Simulation results show that the novel handover scheme can perform network discovery in time to reduce handover dropping rate and present unnecessary activation of its interface to save the battery power, while effectively choose the optimum network through making trade-off among the user preference, network condition, and system performance.