Institutional Repository
| specifying and detecting spatio-temporal events in the internet of things | |
| Jin Beihong; Zhuo Wei; Hu Jiafeng; Chen Haibiao; Yang Yuwei | |
| 2013 | |
| Source | Decision Support Systems
 |
| ISSN | 0167-9236 |
| Volume | 55Issue:1Pages:- |
| English Abstract | Many applications in the Internet of Things (IoT) depend on the occurrences of events with temporal and spatial constraints to determine the further actions. A major challenge encountered is how to specify and detect the spatio-temporal events. The paper adopts Pub/Sub middleware to help IoT applications to capture spatio-temporal events. Specifically, the paper presents a composite subscription language CPSL and builds the corresponding Pub/Sub middleware Grus. The subscriptions in CPSL can specify diverse temporal, spatial and logical relationships of events, in particular, can describe the moving events related to mobile objects, and Grus is responsible for detecting whether events are matched with subscriptions in a distributed way. In addition, Grus provides the optimization strategies for subscriptions involving unary spatial operators. The paper also evaluates Grus's matching performance and costs through simulation experiments. The experimental results show that Grus can achieve satisfying performance and acceptable overheads, and the optimization strategies can efficiently speed up the detection of spatial events. © 2013 Elsevier B.V. All rights reserved.; Many applications in the Internet of Things (IoT) depend on the occurrences of events with temporal and spatial constraints to determine the further actions. A major challenge encountered is how to specify and detect the spatio-temporal events. The paper adopts Pub/Sub middleware to help IoT applications to capture spatio-temporal events. Specifically, the paper presents a composite subscription language CPSL and builds the corresponding Pub/Sub middleware Grus. The subscriptions in CPSL can specify diverse temporal, spatial and logical relationships of events, in particular, can describe the moving events related to mobile objects, and Grus is responsible for detecting whether events are matched with subscriptions in a distributed way. In addition, Grus provides the optimization strategies for subscriptions involving unary spatial operators. The paper also evaluates Grus's matching performance and costs through simulation experiments. The experimental results show that Grus can achieve satisfying performance and acceptable overheads, and the optimization strategies can efficiently speed up the detection of spatial events. © 2013 Elsevier B.V. All rights reserved. |
| Indexed Type | EI |
| Keyword | Middleware Optimization |
| Department | (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China |
| Language | 英语 |
| WOS ID | WOS:000320493400024 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15198 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Jin Beihong,Zhuo Wei,Hu Jiafeng,et al. specifying and detecting spatio-temporal events in the internet of things[J]. Decision Support Systems,2013,55(1):-. |
| APA | Jin Beihong,Zhuo Wei,Hu Jiafeng,Chen Haibiao,&Yang Yuwei.(2013).specifying and detecting spatio-temporal events in the internet of things.Decision Support Systems,55(1),-. |
| MLA | Jin Beihong,et al."specifying and detecting spatio-temporal events in the internet of things".Decision Support Systems 55.1(2013):-. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment