specifying and detecting spatio-temporal events in the internet of things

ISCAS OpenIR

	specifying and detecting spatio-temporal events in the internet of things
	Jin Beihong; Zhuo Wei; Hu Jiafeng; Chen Haibiao; Yang Yuwei
	2013
发表期刊	Decision Support Systems
ISSN	0167-9236
卷号	55 期号:1 页码:-
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.; 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
关键词	Middleware Optimization
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China
语种	英语
WOS记录号	WOS:000320493400024
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15198
专题	中国科学院软件研究所
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):-.