specifying and detecting spatio-temporal events in the internet of things
文献类型：期刊论文
| 作者 | Jin Beihong ; Zhuo Wei ; Hu Jiafeng ; Chen Haibiao ; Yang Yuwei |
| 刊名 | Decision Support Systems
 |
| 出版日期 | 2013 |
| 卷号 | 55期号:1页码:- |
| 关键词 | Middleware Optimization |
| ISSN号 | 0167-9236 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000320493400024 |
| 公开日期 | 2013-09-17 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15198]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 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):-. |
入库方式： OAI收割
来源：软件研究所
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