计算机技术与发展2017，Vol.27Issue(11)：28-32,5.DOI:10.3969/j.issn.1673-629X.2017.11.006
基于车辆轨迹社会属性的VANETs路由算法
A VANETs Routing Algorithm Based on Trace Data' s Social Attribute
摘要
Abstract
The GPS trace data for taxi has great potential in the development of intelligent transportation. By analysis of the data,the social relations or attributes between vehicles can be found,which could play a guiding role in design of VANETs routing with greater perform-ance. The vehicle nodes' centricity and preference are obtained through analysis of the GPS trace data,and based on these properties,the routing algorithms are designed based on both centricity and preference,as well as both of them,which is named TDSAR( Trace Data' s Social Attribute Routing) . Finally,with the ONE as the platform,the routing algorithm is simulated and its performance is evaluated. The results show that TDASR could get high delivery ratio on the premise of lower occupancy and stable delay. Through the in-depth mining of the vehicular relationships,the VANETs could get a better development when the better relay nodes are chosen.关键词
GPS轨迹数据/车载自组织网络/社会属性/路由算法/模拟Key words
GPS trace data/vehicular ad hoc networks/social attributes/routing algorithm/simulation分类
信息技术与安全科学引用本文复制引用
周鹏,肖晓强,宁伟勋..基于车辆轨迹社会属性的VANETs路由算法[J].计算机技术与发展,2017,27(11):28-32,5.基金项目
国家自然科学基金资助项目(61272485) （61272485）
