A Weighted Based Trust Model For Wireless Sensor Networks

Because of its low power consumption,low cost,distributed and self-organizing features,the Wireless Sensor Network(WSN)is widely used in the fields of intelligent transportation,medical care,intelligent home,industrial control and so on.Cryptography is the basis for guaranteeing data confidentiality and reliability in WSN,but only by cryptography,it can not identify the "captured" malicious nodes.Therefore,the trust model is introduced to the security research of WSN.In view of the problem that most of the existing trust model for WSN does not make full use of the base station,this paper proposed a weighted based trust model for WSN.The main work includes:Firstly,the basic structure of the trust model based on the weighted WSN is designed,which is divided into: parameter module and computation module.The parameter module is composed of wireless sensor nodes.Theirs task is to collect and record the node's work log,including the historical behavior,the quantity of electricity,the value of the risk and so on.The computing module is composed of the base station.It is responsible for the integration of parameter data collected by the parameter module.Based on this,the optimal path between any two nodes in the WSN can be calculated with the algorithm designed by the user.Then a power weight based on the energy factor of the line sensor nodes is proposed.The method of value calculation,which considers the residual energy of the node and the energy consumption ofcommunication,can calculate the energy weight between any two wireless sensor nodes.Finally,a method of calculating the risk weight based on the malicious behavior and attribute of the wireless sensor nodes is proposed,considering the type of node,working environment and the risk of nodes,it is able to calculate the risk weights between any two wireless sensor nodes.The experimental results show that with the consideration of the risk factors,the weighted based wireless sensor trust model can avoid the attack of malicious nodes and risk nodes more efficient than the traditional trust model.And due to the consideration of the energy factors,the model designed in this paper can not only plan the energy distribution of each sensor node more rationally,but also extend the life cycle of WSN.