Institutional Repository
| 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 | |
| Source | Distributed and Parallel Databases
 |
| ISSN | 9268782 |
| Volume | 32Issue:2Pages:271-311 |
| English Abstract | 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. |
| Indexed Type | SCI ; EI |
| Keyword | Moving Objects Group-movement Patterns Location Reporting Index Maintenance Local Links Long-distance Links |
| Department | (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 |
| Language | 英语 |
| WOS ID | WOS:000335571000003 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16862 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Han, J.(jyhan@njupt.edu.cn) |
| Recommended Citation 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. |
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