Cluster Head Election Strategy In WSNs Based On Trust Management Mechanism

In recent years, with the continuous development of the Internet of things(Io T),the application of wireless sensor networks(WSNs) has been gradully extending to military fields, commercial fields and other fields. At the same time, the security threats and attacks of the WSNs are increasing. In WSNs, the routing protocol is the basis of network stable operation, among which the cluster routing protocol has been widely studied and applied because of its easy to manage, strong expansibility and so on. Cluster head is the bottleneck of WSNs network communication and security, so its election strategy has become the focus of the current research.Therefore, how to design a security mechanism suitable for clustered WSNs, and to strengthen the rationality of the cluster head election is a very important research direction at present.In order to improve the security of clustered wireless sensor networks, we proposed a centralized trust management mechanism. In this mechanism, the malicious behavior of nodes is detected by a series of malicious behavior detection schemes, and the detection results are used to evaluate the node's trust value. In the centralized trust management mechanism, the calculation, storage, management and decision-making of the trust value are all completed by the base station. In this way,the uniqueness of the trust value can be achieved, and the security policy conflicts caused by the different trust values in the system can be avoided. At the same time,it can reduce the energy waste generated by the repeated computation and facilitated the management of node trust.In order to solve the shortcomings of the traditional cluster head election strategy, we proposed a centralized cluster head election strategy based on trust management mechanism to strengthen the network security,save network energy and balance the network load. Firstly, in order to balance the network load,K-Means clustering is used to divide the cluster structure evenly; Then, in each cluster, the node's trust value from the trust management mechanism is used to choose the candidate cluster heads, so as to enhance the network security; Finally,in order to save the network energy consumption and prolong the network life, theenergy, density and distance of the candidate cluster heads are considered to select the final cluster head.On the basis of the above research, we realized a secure clustering routing protocol simulation system. Experimental results show that, the method proposed in this paper can improve network security and control the energy consumption in a reasonable range.