Zhang Lin, Yin Na, Fu Xiong, Lin Qiaomin, Wang Ruchuan
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China.
Sensors (Basel). 2017 Mar 8;17(3):541. doi: 10.3390/s17030541.
With the development of wireless sensor networks, certain network problems have become more prominent, such as limited node resources, low data transmission security, and short network life cycles. To solve these problems effectively, it is important to design an efficient and trusted secure routing algorithm for wireless sensor networks. Traditional ant-colony optimization algorithms exhibit only local convergence, without considering the residual energy of the nodes and many other problems. This paper introduces a multi-attribute pheromone ant secure routing algorithm based on reputation value (MPASR). This algorithm can reduce the energy consumption of a network and improve the reliability of the nodes' reputations by filtering nodes with higher coincidence rates and improving the method used to update the nodes' communication behaviors. At the same time, the node reputation value, the residual node energy and the transmission delay are combined to formulate a synthetic pheromone that is used in the formula for calculating the random proportion rule in traditional ant-colony optimization to select the optimal data transmission path. Simulation results show that the improved algorithm can increase both the security of data transmission and the quality of routing service.
随着无线传感器网络的发展，某些网络问题变得更加突出，例如节点资源有限、数据传输安全性低以及网络生命周期短。为了有效解决这些问题，为无线传感器网络设计一种高效且可信的安全路由算法至关重要。传统的蚁群优化算法仅表现出局部收敛，未考虑节点的剩余能量以及许多其他问题。本文介绍了一种基于声誉值的多属性信息素蚂蚁安全路由算法（MPASR）。该算法可以通过过滤具有较高符合率的节点并改进用于更新节点通信行为的方法，降低网络的能量消耗并提高节点声誉的可靠性。同时，将节点声誉值、节点剩余能量和传输延迟相结合，制定一种合成信息素，用于传统蚁群优化中计算随机比例规则的公式，以选择最优的数据传输路径。仿真结果表明，改进后的算法可以提高数据传输的安全性和路由服务的质量。
