Paper Info
Title
From Cellular Decision Making to Adaptive Handoff in Heterogeneous Wireless Networks.
Abstract
Handoff decision making is critical for mobile users to reap potential benefits from heterogeneous wireless networks. This letter proposes a biologically inspired handoff decision-making method by mimicking the dynamics which govern the adaptive behavior of an Escherichia coli cell in a time-varying environment. With the goal of guaranteeing the quality of service (QoS), we formulate a utility function that covers the demands of a user's diverse applications and the time-varying network conditions. With this utility function, we map the dynamic heterogeneous environment to a cellular decision-making space, such that the user is induced by a cellular attractor selection mechanism to make distributed and robust handoff decisions. Furthermore, we also present a multi-attribute decision-making network selection algorithm for any user to determine an access network, which is integrated with the proposed bio-inspired decision-making mechanism. Simulation results are supplemented to show that the proposed method can achieve better QoS and fairness when it is compared with conventional methods.
Year
DOI
Venue
2018
10.1109/LWC.2017.2748947
IEEE Wireless Commun. Letters
Keywords
Field
DocType
Quality of service,Decision making,Wireless networks,Biological system modeling,Adaptation models,Mobile communication,Mobile computing
Mobile computing,Wireless network,Selection algorithm,Computer network,Quality of service,Adaptive behavior,Mathematics,Handover,Access network,Mobile telephony
Journal
Volume
Issue
ISSN
7
1
2162-2337
Citations 
PageRank 
References 
1
0.35
5
Authors
7
Name
Order
Citations
PageRank
Daxin Tian120432.49
Jingyi Wei210.35
Jianshan Zhou312913.66
Zhengguo Sheng444640.43
Min Chen52369142.44
Qiang Ni634338.49
Victor C. M. Leung79717759.02