An efficient location reporting and indexing framework for urban road moving objects

ISCAS OpenIR

	An efficient location reporting and indexing framework for urban road moving objects
	Han, Jingyu (1); Chen, Kejia (1); Ding, Zhiming (2); Cao, Huiping (3); Han, J.(jyhan@njupt.edu.cn)
	2014
发表期刊	Distributed and Parallel Databases
ISSN	9268782
卷号	32 期号:2 页码:271-311
摘要	The tracking of moving objects consists of two critical operations: location reporting, in which moving objects (or clients) send their locations to centralized servers, and index maintenance, through which centralized servers update the locations of moving objects. In existing location reporting techniques, each moving object reports its locations to servers by utilizing long-distance links such as 3G/4G. Corresponding to this location reporting strategy, servers need to respond to all the location updating requests from individual moving objects. Such techniques suffer from very high communication cost (due to the individual reporting using long-distance links) and high index update I/Os (due to the massive amount of location updating requests). In this paper, we present a novel Group-movement based location Reporting and Indexing (GRI) framework for location reporting (at moving object side) and index maintenance (at server side). In the GRI framework, we introduce a novel location reporting strategy which allows moving objects to report their locations to servers in a group (instead of individually) by aggregating the moving objects that share similar movement patterns through wireless local links (such as WiFi). At the server side, we present a dual-index, Hash-GTPR-tree (H-GTPR), to index objects sharing similar movement patterns. Our experimental results on synthetic and real data sets demonstrate the effectiveness and efficiency of our new GRI framework, as well as the location reporting strategy and the H-GTPR tree index technique. © 2013 Springer Science+Business Media New York.; The tracking of moving objects consists of two critical operations: location reporting, in which moving objects (or clients) send their locations to centralized servers, and index maintenance, through which centralized servers update the locations of moving objects. In existing location reporting techniques, each moving object reports its locations to servers by utilizing long-distance links such as 3G/4G. Corresponding to this location reporting strategy, servers need to respond to all the location updating requests from individual moving objects. Such techniques suffer from very high communication cost (due to the individual reporting using long-distance links) and high index update I/Os (due to the massive amount of location updating requests). In this paper, we present a novel Group-movement based location Reporting and Indexing (GRI) framework for location reporting (at moving object side) and index maintenance (at server side). In the GRI framework, we introduce a novel location reporting strategy which allows moving objects to report their locations to servers in a group (instead of individually) by aggregating the moving objects that share similar movement patterns through wireless local links (such as WiFi). At the server side, we present a dual-index, Hash-GTPR-tree (H-GTPR), to index objects sharing similar movement patterns. Our experimental results on synthetic and real data sets demonstrate the effectiveness and efficiency of our new GRI framework, as well as the location reporting strategy and the H-GTPR tree index technique. © 2013 Springer Science+Business Media New York.
收录类别	SCI ; EI
关键词	Moving Objects Group-movement Patterns Location Reporting Index Maintenance Local Links Long-distance Links
部门归属	(1) College of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; (2) Institute of Software, Chinese Academy of Science, Beijing 100080, China; (3) Department of Computer Science, New Mexico State University, Las Cruces, United States
语种	英语
WOS记录号	WOS:000335571000003
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16862
专题	中国科学院软件研究所
通讯作者	Han, J.(jyhan@njupt.edu.cn)
推荐引用方式 GB/T 7714	Han, Jingyu ,Chen, Kejia ,Ding, Zhiming ,et al. An efficient location reporting and indexing framework for urban road moving objects[J]. Distributed and Parallel Databases,2014,32(2):271-311.
APA	Han, Jingyu ,Chen, Kejia ,Ding, Zhiming ,Cao, Huiping ,&Han, J..(2014).An efficient location reporting and indexing framework for urban road moving objects.Distributed and Parallel Databases,32(2),271-311.
MLA	Han, Jingyu ,et al."An efficient location reporting and indexing framework for urban road moving objects".Distributed and Parallel Databases 32.2(2014):271-311.