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

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1117-1128, 2019, DOI: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… More >

Xiaoliang Wang^1,*, Jianming Jiang^1,2, Shujing Zhao¹, Liang Bai¹

CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 249-262, 2019, DOI:10.32604/cmc.2019.04088

Abstract With the rapid development of IoT (Internet of Things), VANETs (Vehicular Ad-Hoc Networks) have become an attractive ad-hoc network that brings convenience into people’s lives. Vehicles can be informed of the position, direction, speed and other real-time information of nearby vehicles to avoid traffic jams and accidents. However, VANET environments could be dangerous in the absence of security protection. Because of the openness and self-organization of VANETs, there are plenty of malicious pathways. To guarantee vehicle security, the research aims to provide an effective VANET security mechanism that can track malicious vehicles as necessary. Therefore, this work focuses on malicious… More >