Study Of Trusted Model In Wireless Sensor Network Based On Trust Management

A Wireless Sensor Network (WSN) is collected by a lot of smart sensor nodes which are disposed in monitoring area. At present, the most of research on wireless sensor networks are focus on the base supporting technologies, such as communication protocols, coverage, connectivity, time synchronization, localization, and so on. And the security, trust issues and the management of wireless sensor networks are still at primary stage. But it is an insurmountable stage in wireless sensor network which be used widely.According to the situation that it lacks of trusted management mechanism in wireless sensor network, the thesis proposed a trusted management model which is Trusted Wireless Sensor Network (TWSN). The core idea of this mechanism is that the wireless sensor networks, while the trust management is introduced to, construct based on the trust degree of the sensor nodes, and the network behaviors basis for it. The model aims to solve the problem that cryptography based security solutions are not enough for attacks from interior and identification malicious nodes in WSNs. And it also can manage and maintain the resources, performance, fault, security and communication for the network. And it proves the networks operate security, stably, credibly and efficiently.Firstly, the basic architecture and the characteristics of wireless sensor networks are reviewed in this paper and then described the research status of security management in detail. Secondly, it introduces the details of the general framework and the mechanism of encouragement and punishment which is to maintain of network fairness, stability and performance. And it also explains the model of trust degree evaluation by describes the parameter definition and calculation model. This calculation model comprehensive use two commonly used trusted degree evaluation model to avoid the disadvantages which caused by using only one of them. And through describing the model dealing with a variety of malicious acts in WSNs, it analyzes the robustness of the model. Thirdly, it achieves the TWSN trust management model by extending OMNET + + network simulation platform. Finally, it makes simulation by using the TWSN model. Through analyzing the result of the simulation, we evaluate the affection of network lifetime, and the effectiveness of the mechanism of encouragement and punishment. And we also prove the robustness of the model by analyzing the identification of the malicious nodes and reactivity to malicious attacks of the TWSN model.