Solving Multiobjective Optimization Problems Using an Artificial Immune System
Genetic Programming and Evolvable Machines
Multiobjective immune algorithm with nondominated neighbor-based selection
Evolutionary Computation
A multi-modal immune algorithm for the job-shop scheduling problem
Information Sciences: an International Journal
An analytical evaluation of mobility management in integrated WLAN-UMTS networks
Computers and Electrical Engineering
A bidding model and cooperative game-based vertical handoff decision algorithm
Journal of Network and Computer Applications
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
MIRAI architecture for heterogeneous network
IEEE Communications Magazine
Optimal Distributed Vertical Handoff Strategies in Vehicular Heterogeneous Networks
IEEE Journal on Selected Areas in Communications
Markov-based vertical handoff decision algorithms in heterogeneous wireless networks
Computers and Electrical Engineering
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In heterogeneous wireless network environment, wireless local area network (WLAN) is usually deployed within the coverage of a cellular network to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. Vertical handoffs between the WLAN and the cellular network maybe occur frequently. As for the vertical handoff performance, there is a critical requirement for developing algorithms for connection management and optimal resource allocation for seamless mobility. In this paper, we develop a mathematical model for vertical handoff decision problem, and propose a multi-objective optimization immune algorithm-based vertical handoff decision scheme. The proposed scheme can enable a wireless access network not only to balance the overall load among all base stations and access points but also maximize the collective battery lifetime of mobile terminals. Results based on a detailed performance evaluation study are also presented here to demonstrate the efficacy of the proposed scheme.