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
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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
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