Immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network

  • Authors:
  • Fang Liu;Si-Feng Zhu;Zheng-Yi Chai;Yu-Tao Qi;Jian-She Wu

  • Affiliations:
  • School of Computer Science and Technology, Xidian University, Xi'an, China 710071 and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian Uni ...;Department of Mathematics and Information Science, Zhoukou Normal University, Zhoukou, China 466001;School of Computer Science and Technology, Xidian University, Xi'an, China 710071;School of Computer Science and Technology, Xidian University, Xi'an, China 710071 and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian Uni ...;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China 710071

  • Venue:
  • Wireless Networks
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.