基于粒子群优化算法的无线传感网络安全分簇策略

Security Clustering Strategy Based on Particle Swarm Optimization Algorithm in Wireless Sensor Network

为解决无线传感网络存在的网络生存时间短及缺乏有效的安全传输机制问题,提出了一种基于粒子群优化算法的无线传感网络安全分簇策略。该策略结合多项式混合密钥分配技术加密簇内和簇间节点的通信数据,保证了数据传输的安全性能;另一方面,通过优化的粒子群算法构造基于节点剩余能量和通信距离的适值函数来选择最优簇首和分簇数量,通过比较粒子聚合度值迭代计算求解,解决加密算法导致的微弱能量损耗问题,保证传感器网络性能的同时实现数据通信安全。网络仿真测试表明,该策略在确保传感网络安全的同时,能够将网络吞吐量提高120%,将传感网络生命周期延长30%~65%,更好地实现了传感网络性能的优化。

In order to solve the problem of short network survival time and lack of effective secure transmission mechanism in wireless sensor networks,a secure clustering strategy for wireless sensor networks based on particle swarm optimization algorithm(SC_PSO)is proposed.This strategy combines the polynomial hybrid key distribution technology to encrypt the communication data of nodes between clusters,which ensures the security performance of data transmission.On the other hand,an optimized particle swarm algorithm is used to construct a fitness function based on the remaining energy of the node and the communication distance to select the optimal cluster head and the number of clusters.It can solve the problem of energy loss caused by the encryption algorithm,and it can ensure the performance of the sensor network while realizing data security communication.The network simulation test shows that this strategy can increase the network throughput by 120%and extend the life cycle of the sensor network by 30%~65%while ensuring the security of the sensor network.