This paper proposes a new architecture by integrating three domains: social network, vehicular ad-hoc network, and mobile edge computing. The users access various mobile applications and share various types of information on the social network during travel time. Using SoVEC three categories of social networks are generated based on the type of information shared among the users such as traffic information, professional information, and personal interests. To reach the destination in minimal time, this paper proposes an optimum route selection strategy based on TOPSIS method and genetic algorithm. The SoVEC is simulated using the network simulator Qualnet 7, and average delay, jitter, and throughput are determined. A case study of generating social network based on road traffic-related information is also demonstrated. Finally, the effectiveness of the proposed approach for selecting the optimum route is assessed, and the results present that the proposed method outperforms the existing algorithms.

中文翻译：

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SoVEC：基于社交车辆边缘计算的最佳路线选择


本文提出了一种整合社交网络、车载自组织网络和移动边缘计算三个领域的新架构。用户在旅行期间访问各种移动应用程序并在社交网络上分享各种类型的信息。使用 SoVEC，根据用户之间共享的信息类型（例如交通信息、专业信息和个人兴趣）生成三类社交网络。为了在最短的时间内到达目的地，提出一种基于TOPSIS方法和遗传算法的最优路径选择策略。使用网络模拟器 Qualnet 7 对 SoVEC 进行模拟，并确定平均延迟、抖动和吞吐量。还演示了基于道路交通相关信息生成社交网络的案例研究。最后，评估了所提出的选择最佳路线方法的有效性，结果表明所提出的方法优于现有算法。