Tian, Daxin, Wei, Jingyi, Zhou, Jianshan, Sheng, Zhengguo, Chen, Min, Ni, Qiang and Leung, Victor C M (2018) From cellular decision making to adaptive handoff in heterogeneous wireless networks. IEEE Wireless Communications Letters, 7 (1). pp. 2-5. ISSN 2162-2337
![]() |
PDF ((c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or red)
- Accepted Version
Download (755kB) |
Abstract
Handoff decision making is critical for mobile users to reap potential benefits from heterogeneous wireless networks. This letter proposes a biologically inspired handoff decisionmaking 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.
Item Type: | Article |
---|---|
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Research Centres and Groups: | Sensor Technology Research Centre |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television |
Depositing User: | Zhengguo Sheng |
Date Deposited: | 15 Sep 2017 15:10 |
Last Modified: | 22 Feb 2018 11:16 |
URI: | http://srodev.sussex.ac.uk/id/eprint/70216 |
View download statistics for this item
📧 Request an updateProject Name | Sussex Project Number | Funder | Funder Ref |
---|---|---|---|
Bionic communications and networking for connected vehicles | G2114 | Royal Society | IE160920 |
Mission-Critical and Intelligent Communication Protocols for Future Vehicles Using Power Lines | G2132 | EPSRC | Unset |