Research on road topology based mobility prediction schemes

作     者：陈林 Chen Hongzhong Jiang Changjun 

作者机构：Key Lab of Embedded System and Service Computing of the Ministry of Education Department of Computer Science and Technology Tongji University Shanghai 201804 P.R.China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2007年第13卷第2期

页      面：140-144页

核心收录：

学科分类：08[工学] 0814[工学-土木工程] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：国家高技术研究发展计划(863计划)(2004AA104340) the Shanghai Science and Technology Research Plan(05DZ15004) the Key Program for Basic Research of Shanghai(05JC14063) 

主　　题：geographic muting mobility prediction road topology shortest path Manhattan mo-bility model 

摘      要：Geographic routing has been introduced in mobile ad hoc networks and sensor networks. But its per-formance suffers greatly from mobility-induced location errors that can cause Lost Link （LLNK） and LOOP problems. Thus various mobility prediction algorithms have been proposed to mitigate the errors, but sometimes their prediction errors are substantial. A novel mobility prediction technique that incorpo-rates both mobile positioning information and road topology knowledge was presented. Furthermore, the performance of the scheme was evaluated via simulations, along with two other schemes, namely, Linear Velocity Prediction （LVP） and Weighted Velocity Prediction （WVP） for comparison purpose. The results of simulation under Manhattan mobility model show that the proposed scheme could track the movement of a node well and hence provide noticeable improvement over LVP and MVP.