Position Prediction For Mobile Jammer In Wireless Sensor Networks

Wireless communication has the characteristics of broadcasting,openness and dynamic vulnerability,which makes the communication between the wireless sensor nodes affected by jamming attack and noise easily.The attacker or enemy can monitor the frequency band of the sensor network,conduct jamming attack as a band "blasting".Once jamming attack occurs,the most urgent work is to get the position information of the jammer.Then safety measures to eliminate the jamming effect can be devised.The localization of the jammer is of great importance to the wireless sensor networks.In this dissertation,the jammer localization is conducted by geometric covering methods to achieve a low energy consumption.And a compensating method is composed to reduce the estimated error of the jamming area utilizing the power of the jamming signal received by the boundary nodes.The localization is implemented by extracting the minimum covering circle of the compensated victim area.The main contents of this paper are as follows:(1)Overview the concept and research of wireless sensor networks and summarize the applications of the WSN.The localization algorithm based on distance compensation is proposed for the problem of the jamming attack.A compensating method is composed to reduce the estimated error of the jamming area utilizing the power of the jamming signal received by the boundary nodes,the performance of the algorithm is analyzed through MATLAB.Simulations are conducted to test the impacts of the node density,jamming region and radius,the results are compared with the traditional algorithms.Simulation results show that the localization algorithm achieves good accuracy with high stability.(2)Considering the defense strategies of the jamming problem are not suitable for the mobile jammer,prediction methods are proposed for the release of mobile jamming.Quadratic polynomial motion model and grey model are applied in the prediction.Simulations are conducted and prove that the prediction method could make accurate motion prediction of the mobile jammer.