南京理工大学学报（自然科学版）2019，Vol.43Issue(1)：22-28,7.DOI:10.14177/j.cnki.32-1397n.2019.43.01.003
城市场景下车联网数据收集传输规划
Data collection scheduling in urban vehicular Ad-hoc network
摘要
Abstract
In order to improve the collection rate of vehicles sensory data in vehicular Ad-hoc network, the data collection problem is studied and defined in this paper. According to the real-time traffic information,two different algorithms,which can simultaneously establish a collection rooting tree and scheming each node’s transmit time in the tree in limited communication scene and unlimited commu-nication scene,are proposed. The basic idea of the algorithms is to dynamically determine the transmis-sion strategy in the process of data collection and construct a dynamic aggregation routing tree based on the recursively parent node selection algorithm which uses a thinking of greedy algorithm. Finally,a large number of contrast experiments are carried out on the simulation trajectory data set. Results show that the proposed algorithms have a well improvement in data collection rate compared with other schemes.关键词
时延约束/数据收集/数据聚集/聚集路由树/通信场景/车联网Key words
delay constraint/ data collection/ data aggregation/ aggregation routing tree/communication scene/vehicular Ad-hoc network分类
信息技术与安全科学引用本文复制引用
贾宗璞,杨焕焕,宋成,谢果君..城市场景下车联网数据收集传输规划[J].南京理工大学学报（自然科学版）,2019,43(1):22-28,7.基金项目
国家自然科学基金(61300124) （61300124）
河南省科技攻关计划基金(132102210123) （132102210123）
