Trustworthy Research Based On Sensor Network

In recent years, with the rapid development of sensor network, some problems about sensor network like security, reliability and privacy are increasingly prominent. Generally, traditional security mechanisms, such as cryptography, authentication, can only deal with some typical external threats, the research on sensor network internal security threats is far away enough. Trustworthiness is the current hot spot in information security research field. To some extent, the research on trustworthiness about sensor network can solve these problems.On the basis of analyzing trustworthiness about sensor network, this article proposes a trustworthy transmission model of sensor network. Starting from the internal nodes of sensor network, this article proposes three main factors affecting the trustworthiness of sensor network: residual energy per unit distance, delay and the packet loss rate of node. According to sensor network residual energy in relative distance area, residual energy per unit distance is a new concept this article raises. In the aspect of delay, this article proposes a measuring method on the basis of its composition and classification. Based on traditional packet loss rate of link, the packet loss rate of node is calculated using weighted sum of the link transmission packet percentage of each node. Through detailed discuss and formula definition of affecting the trustworthiness of sensor network, this article gives out the node credibility calculation formula. On the foundation of this formula, this article assesses the nodes of constituting sensor network, and then builds a trustworthy transmission model of sensor network.On the basis of proposing a new sensor network model, this article uses NS2simulation software to compare the proposed model with classic LEACH model, and the simulation results obtained have been analyzed and discussed in detail. As a result, the advantages of the proposed model in this article come to enhance the trustworthiness of sensor network.