【摘要】 针对车载社交网络中节点信任度不可靠和分组投递率低的问题,提出一种基于雾计算的信任评估算法.首先,根据车辆节点信息交互行为、时间衰减函数、距离衰减函数和区域影响函数计算信任度和可靠度,并利用生成的可靠度判定车辆节点权重,进而求解下一跳车辆节点的全局信任.然后,对于多个下一跳车辆节点,采用最高信任优选算法选择全局信任最高的车辆节点进行信息交互.最后,基于雾计算技术对信任评估算法进行实现.仿真实验结果和分析表明,该算法提高了分组投递率,对车载社交网络中的恶意车辆节点具有较好的检测效果.更多还原

【Abstract】 Aiming at the problems of unreliable node trust and low packet delivery rate in vehicle social network,this paper proposes a trust evaluation algorithm based on fog computing. Firstly,trust degree and reliability are calculated according to vehicle node information interaction behavior,time decay function,distance attenuation function and region influence function,and the generated node reliability is determined by using the generated reliability to solve the global trust of the next-hop vehicle node. Then,for multiple next-hop vehicle nodes,the highest trust preference algorithm is used to select the vehicle node with the highest global trust for information interaction.Finally,the fog computing technology is used to realize the trust evaluation algorithm of the design. Simulation results and analysis show that the algorithm improves the packet delivery rate and has a good detection effect on malicious vehicle nodes in the vehicle social network.更多还原