WNNP-Based Clustering Algorithm for Ad Hoc Networks
Lili Zhang · Journal of Northeastern University · 2011
According to the dynamic characteristics of ad hoc network topology,a wavelet neural network prediction(WNNP) model was used to predict the geometrical location of the nodes.Comparing the predicted total holding time with the threshold,the stabilization of a cluster in next time can be measured.If the cluster tends to be unstable in next time,a routing pre-repair mechanism can be initiated before the link failure to avoid frequent breaks of links.Thus the network performance is significantly improved.Simulation results show that compared with the lowest-identifier(lowest ID) algorithm and location-based WCA(LWCA) which has no prediction model,WNNP-LWCA can improve by 7% and 5% of the packet delivery rate,reduce by 63% and 50% of the broken routing number,and maintain the stabilization of the cluster.