Reputation Calculating Model Innovation Based On Node's Behavior In Wireless Sensor Networks

As entering the new century, the development of computer technology and sensor technology is rapid, wireless sensor network creates a new study field, and it becomes the hot topic of academic research. Wireless sensor network has been widely used in military,national security and commercial areas, it has very important value and broad prospect. In the research process of wireless sensor network technology, researchers use a lot of advanced technologies, such as sensor technology, data aggregation technology and wireless communication technology, etc. These information acquisition and processing technologies are very different from traditional technologies. Since the wireless sensor network occupies the important position in various fields, it attaches great importance to the security issues.The main contents of this paper is the calculation of node comprehensive reputation value, BRSN is the most mature and typical model of computing node reputation value. When computing node reputation value, this model only consider the factor of node behavior,without considering the parameters of node energy reputation; when reputation updates, the calculation of direct reputation depends too much on recent data, and not considers the credibility affect of third party recommendation node, so it is short of uniformity on the reputation update. Therefore, to solve these problems, this paper proposes an improved reputation calculation model. When calculating the direct reputation value between nodes, it introduces reliable parameter to ensure the reliability of the normal rate of the node, while the introduction of the energy factor achieves more accurate node reputation value.The main work of this paper are: Firstly, it analyzes the behavior of nodes that may occur in the network, by analyzing BRSN model, designs a new reputation calculation model,namely improves the direct and indirect reputation algorithm; In order to avoid high reputation value but low energy nodes are frequently used, the node energy is introduced into the reputation calculation model, finally integrates all credibility parameters to obtain comprehensive reputation value of the node. In the experimental design section, this paper uses NS2 simulation software to simulate wireless sensor network, by computing nodes reputation value and identifying abnormal nodes to check the superiority of this algorithm, the desired effect hope to achieve is that the improved reputation calculation model can identify the selfish nodes,malicious nodes or even the nodes been attacked in the network,and can ensure the safety of mutual communication between nodes, also reduce the use frequency of nodes with high reputation value and low energy. Lastly, it compares the BRSN model and N_BRSN model.