Location Prediction Weighted Clustering Algorithm Based on WNNM in Ad Hoc Network

摘要：

　　lntroducing a wavelet neural network model (WNNM)at a route maintenance stage to predict the position of nodes in ad hoc networks,a new weighted clustering algorithm (WCA)is presented.Using the nodes position information from GPS,this algorithm predicts the position of nodes at next time by WNNM,then calculates the time the neighbor nodes spend moving out of the coverage of cluster heads by the predicted values and takes it as a measurement of aggregate holding time.If the cluster structure tends to be unstable,a pre-repair mechanism will function before the link fails,thus avoiding frequent break of links and improving the network performance.Simulation results show that compared to the Lowest-ID WCA and Location-based WCA,the algorithm proposed can increase the packet delivery rate by 9% and 6%,respectively,and decrease the numbers of link break by about 70% and 50%,respectively.

关键词： Ad hoc network Weighted clustering algorithm(WCA) Location prediction Wavelet neural network model(WNNM)

作者: Sha Yi Huang Li Chu Jiafu Zhang Lili

作者单位: Northeastern University

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 8-11

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）