中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
adaptive location update mechanism for network-constrained moving objects in changeful traffic conditions

文献类型:会议论文

作者Ding Zhiming ; Guo Limin ; Meng Xiaofeng
出版日期2009
会议名称10th International Conference on Mobile Data Management
会议日期MAY 18-20,
会议地点Taipei, TAIWAN
关键词adaptive location update mechanism changeful traffic conditions location tracking network-constrained moving objects traffic jammed transportation networks transportation networks traffic information systems
页码417-423
英文摘要Location update strategy is one of the most important factors that affect the performance of moving objects databases. However, current motion vector based location tracking methods are designed for regular movements and are thus not suitable for transportation networks with changeful traffic conditions. To solve this problem, we propose a new location update mechanism, Adaptive Network-constrained moving object Location Update Mechanism (ANLUM), in this paper. In ANLUM, the moving object can switch between different location tracking policies according to difference traffic conditions, so that the overall performance can be improved. To evaluate the performance of the proposed method, an experimental system is implemented and the results show that ANLUM can effectively reduce the communication costs with location tracking accuracy guaranteed in traffic jammed transportation networks.
收录类别ISTP,IEEE,EI
会议主办者Natl Chiao Tung Univ, Dept Comp Sci
会议录Proceedings - IEEE International Conference on Mobile Data Management
会议录出版者MDM: 2009 10TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
ISSN号15516245
ISBN号978-1-4244-4153-2
源URL[http://124.16.136.157/handle/311060/8284]  
专题软件研究所_基础软件国家工程研究中心_会议论文
推荐引用方式
GB/T 7714
Ding Zhiming,Guo Limin,Meng Xiaofeng. adaptive location update mechanism for network-constrained moving objects in changeful traffic conditions[C]. 见:10th International Conference on Mobile Data Management. Taipei, TAIWAN. MAY 18-20,.

入库方式: OAI收割

来源:软件研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。