With the rapid development of sensor technology and wireless network technology, wireless sensor network (WSN) has been\nwidely applied in many resource-constrained environments and application scenarios. As there are a large number of sensor nodes\nin WSN, node failures are inevitable and have a significant impact on task execution. In this paper, considering the vulnerability,\nunreliability, and dynamic characteristics of sensor nodes, node failures are classified into two categories including unrecoverable\nfailures and recoverable failures. Then, the traditional description of the interaction results is extended to the trinomial distribution.\nAccording to the Bayesian cognitive model, the global trust degree is aggregated by both direct and indirect interaction\nrecords, and a novel trust model based on node recovery technique for WSNs is proposed to reduce the probability of failure for\ntask execution. Simulation results show that compared with existing trust models, our proposed TMBNRT (trust model based on\nnode recovery technique) algorithm can effectively meet the security and the reliability requirements of WSN.
Loading....