A New Malicious Nodes Attack-Resistant Security Location Method in Wireless Sensor Network
Yu Wang · Chinese Journal of Computers · 2013
It is crucial that wireless sensor nodes should be properly located to facilitate the operation of the whole network.When wireless sensor network is exposed in malicious and dangerous environment,attackers may attack the nodes in the location process and cause incorrect location results which may lead to the complete breakdown of the entire network.The sensor location probability model based on maximum likelihood estimation is one of the commonly-used location models.However,it has two flaws.First,it usually treats the standard deviation of the received signal strength(RSS) as constant to lower the calculation complexity,which affects the accuracy of location.Second,it is not secure enough.Under malicious node attack,this model usually cannot fulfill its location function.This research generalizes the functional relations between RSS standard deviation and distance through fitting test data and thus fixes the first problem.To tackle the second problem,this research analyzes the reasons behind the failure of location under attack and thus improves the probability formula of node location,and designs a new sensor node location probability model based on the characteristics of variant variance.As this new model is a highly nonlinear characteristic global optimization problem that is difficult to work out,this research has designed a new and effective evolutionary algorithm and proven its global convergence.In tests using public datasets and actual experiments,the designed model and algorithm are finally proven to be able to fulfill secure location of the nodes on the premise that the accuracy of location is guaranteed.