A WSN Trust Model Based On Link Layer Influence Facter And Time Facter

The development of wireless sensor network(WSN)has the characteristics of flexibility of network and equipment,sensitivity of environment perception,real-time transmission of data and so on.It has been widely used in various industries of social production and life,such as: fire-fighting search,Road traffic flow detection,parking information detection,ecological environment monitoring and so on.Its security has become the key to the wide application of wireless sensor networks.The establishment of WSN trust model is an effective way to ensure the security of wireless sensor networks.Through the established trust model,the newest state of nodes can be obtained and a direct judgment can be made on whether the nodes can interact with each other.In this paper,the comprehensive trust degree of nodes in the existing wsn trust model is less affected by the energy trust degree,and the trust model of the network layer and above layer is more vulnerable to malicious attacks,and so on.The wsn trust model(clat-tm)based on link layer influence factor and time factor is constructedd.In this paper,we first propose an energy-based trust calculation method.The energy trust is not involved in the calculation of the comprehensive trust in the way of weighted fusion,but as the coefficient of the comprehensive trust(CT)of the computing nodes,which directly affects the communication between the nodes.This design avoids the fact that the node is always selected as the target node because of the high trust level of the other nodes,which will lead to the continuous reduction of energy.Then,the trust degree calculation based on link impact factor is proposed.Due to the continuous stability of the data link layer and the close relationship between the evidence and the time,the trust model combined with the link layer influence factor can effectively prevent the malicious nodes from masquerading attacks.Finally,A trust fusion method based on time factor is proposed.The method not only considers the influence of time on the degree of trust,but also differentiates the punishment degree of malicious attacks of different duration,and introduces the time penalty factor PF.When the indirect trust of the sensor nodes is calculated,the three-layer filtering algorithm of the indirect trust 3-LFAFIA is put forward.The initial fusion trust degree and energy trust coefficient are combined to obtain the final comprehensive trust degree of the sensor node.In the last step,the trust updating algorithm based on sliding window(TUABOSW)is proposed when the trust degree needs to be updated when the nodes interact with each other again.The experimental results show that the interactive success rate of the CLAT-TM trust model is significantly higher than that of the BTRM trust model and the LFTM trust model in the networks with different proportions of malicious nodes.In different scale networks,the standard deviation of node energy consumption of the CLAT-TM trust model is obviously lower than that of the btrm trust model and the LFTM trust model,and the load of nodes is more balanced.