DocumentCode :
1481795
Title :
Large-Scale Middleware for Ubiquitous Sensor Networks
Author :
Jeong, Young-Sik ; Song, Eun-Ha ; Chae, Gab-Byung ; Hong, Min ; Park, Doo-Soon
Author_Institution :
Wonkwang Univ., South Korea
Volume :
25
Issue :
2
fYear :
2010
Firstpage :
48
Lastpage :
59
Abstract :
As our information society transitions from human-to object-oriented information, especially in ubiquitous-network environments, the advanced technologies developed for ubiquitous sensor networks (USNs) have received considerable attention. In addition, the prevalence of USN computing environments raises the issue of how applications can take full advantage of contextaware information. The main tasks of ubiquitous computing include generating new information from objects on the basis of data received from sensors, transmitting the newly generated information through wireless networks, analyzing the information received, and performing the specific tasks from that analysis. To establish a ubiquitous-computing environment, various fields (administration, medical, transportation, environment, disaster prevention, and so on) have incorporated USN technologies (such as sensor node hardware, sensor networks, and USN middleware) and USN application services (such as ecosystem forecasting, sniper countermeasures, health monitoring, environment observation, and surveillance to detect intruders).
Keywords :
middleware; ubiquitous computing; wireless sensor networks; context aware information; information generation; information society; large scale middleware; object-oriented information; ubiquitous computing; ubiquitous sensor networks; wireless networks; Ecosystems; Hardware; Information analysis; Large-scale systems; Middleware; Performance analysis; Pervasive computing; Transportation; Ubiquitous computing; Wireless sensor networks; Lamses; USN middleware; artificial intelligence; context awareness; context-aware middleware; large-scale USN; large-scale middleware; server-side middleware; ubiquitous computing; ubiquitous sensor network;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2010.52
Filename :
5456412
Link To Document :
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