Large-Scale Middleware for Ubiquitous Sensor Networks

• Published in: IEEE intelligent systems Vol. 25; no. 2; pp. 48 - 59
• Main Authors: Jeong, Young-Sik, Song, Eun-Ha, Chae, Gab-Byung, Hong, Min, Park, Doo-Soon
• Format: Journal Article
• Language: English
• Published: Los Alamitos IEEE 01.03.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: artificial intelligence; context awareness; context-aware middleware; Ecosystems; Hardware; Human-computer interaction; Information analysis; Information processing; Lamses; large-scale middleware; Large-scale systems; large-scale USN; Lightweight; Middleware; Networks; Performance analysis; Pervasive computing; Sensors; server-side middleware; Stores; Technological change; Transportation; Ubiquitous computing; ubiquitous sensor network; USN middleware; Weight reduction; Wireless networks; Wireless sensor networks
• ISSN: 1541-1672; 1941-1294
• DOI: 10.1109/MIS.2010.52

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).