Trust model based on beta distribution for sparse wireless sensor networks
XU Xiao-longa,LIN Ya-pinga,b,ZHOU Si-wangb,ZHU Tie-juna
(a.School of Computer & Communication,b.School of Software, Hunan University, Changsha 410082, China)
Abstract:Considering the wireless sensor network isn’t uniformly distributed, and energy consumption for each node can’t be balanced, even some nodes are captured or compromise to send forged data and so on,this paper proposed a trust model for sparse network based on beta distribution.After the characteristic of the sparse network had been fully taken into account, then each node’s trust value could be easily computed and updated in cycle by the beta density function. Simulation results and analysis show that this trust model can eliminate the false data which is sent by malicious nodes effectively and identify failure nodes accurately, thereby optimizes the performance, provides a credible supporting environment for topology algorithm, data compression algorithm etc. ......