摘要
对车联社交网络根据研究侧重点做了分类,并对车联社交网络中的一些机遇和挑战进行了探讨;提出了一种利用社交网络分享的实时交通信息为车联网进行最短路径规划导航的解决方案。实验数据表明该方案在导航效率上超越了现有的静态路径规划方案。
In this paper, we survey and classify existing works on vehicular socialnetworks. Then, some challenging issues are discussed. Finally, we propose anapplication that uses socially shared real-time traffic information to find the quickestroute to a destination. Our evaluations show that the proposed solution outperformsexisting static route-planning solutions.
出处
《中兴通讯技术》
2014年第1期31-34,共4页
ZTE Technology Journal
基金
基金项目:HKRGC GRF polyu5106/11E
N-PolyU519/12
关键词
车联网
社交网络
群智计算
无意识协作
vehicular networks
social networks
collective computing
opportunisticsensing