@Article{cmc.2019.05578,
AUTHOR = {Xuting Duan, Jingyi Wei, Daxin Tian, Jianshan Zhou, Haiying Xia, Xin Li, Kunxian Zheng},
TITLE = {Adaptive Handover Decision Inspired By Biological Mechanism in Vehicle Ad-hoc Networks},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {61},
YEAR = {2019},
NUMBER = {3},
PAGES = {1117--1128},
URL = {http://www.techscience.com/cmc/v61n3/35292},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2019.05578}
}