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Adaptive Handover Decision Inspired By Biological Mechanism in Vehicle Ad-hoc Networks

Xuting Duan1,2,3, Jingyi Wei1,2,3, Daxin Tian1,2,3,*, Jianshan Zhou1,2,3,4, Haiying Xia5, Xin Li6, Kunxian Zheng1,2,3
1 Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing,100191,China.
2 Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control, Beijing, 100191, China.
3 School of Transportation Science and Engineering, Beihang University, Beijing, 100191, China.
4 Department of Engineering and Design, University of Sussex, Brighton, BN1 9RH, UK.
5 Research Institute of Highway Ministry Transport, Beijing, 100088, China.
6 Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing, 100088, China.
* Corresponding Author: Daxin Tian. Email: dtian@buaa.edu.cn.

Computers, Materials & Continua 2019, 61(3), 1117-1128. https://doi.org/10.32604/cmc.2019.05578

Abstract

In vehicle ad-hoc networks (VANETs), the proliferation of wireless communication will give rise to the heterogeneous access environment where network selection becomes significant. Motivated by the self-adaptive paradigm of cellular attractors, this paper regards an individual communication as a cell, so that we can apply the revised attractor selection model to induce each connected vehicle. Aiming at improving the Quality of Service (QoS), we presented the bio-inspired handover decision-making mechanism. In addition, we employ the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) for any vehicle to choose an access network. This paper proposes a novel framework where the bio-inspired mechanism is combined with TOPSIS. In a dynamic and random mobility environment, our method achieves the coordination of performance of heterogeneous networks by guaranteeing the efficient utilization and fair distribution of network resources in a global sense. The experimental results confirm that the proposed method performs better when compared with conventional schemes.

Keywords

Revised attraction selection model, TOPSIS, VANETs, QoS.

Cite This Article

X. Duan, J. Wei, D. Tian, J. Zhou, H. Xia et al., "Adaptive handover decision inspired by biological mechanism in vehicle ad-hoc networks," Computers, Materials & Continua, vol. 61, no.3, pp. 1117–1128, 2019.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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