Open Access

ARTICLE

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

Xuting Duan^1,2,3, Jingyi Wei^1,2,3, Daxin Tian^1,2,3,*, Jianshan Zhou^1,2,3,4, Haiying Xia⁵, Xin Li⁶, Kunxian Zheng^1,2,3

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.

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Citations