Semantic Sensor Net: an extensible framework

Authors:
Lionel M. Ni;Yanmin Zhu;Jian Ma;Qiong Luo;Yunhao Liu;S. C. Cheung;Qiang Yang;Minglu Li;Min-you Wu
Affiliations:
Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai, PR China.;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China.;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
Venue:
International Journal of Ad Hoc and Ubiquitous Computing
Year:
2009

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Abstract

Existing approaches for sensor networks suffer from a number of serious drawbacks, including assumption of homogeneous sensor nodes, application-dependency, engineering-orientation, and lack of interoperability. To overcome these drawbacks, we propose an extensive framework: Semantic Sensor Net (SSN). It is a framework catering for heterogeneous sensor networks, which enables dynamic tagging of semantic information to sensory data to allow more efficient and systematic monitoring and handling of environmental dynamics to provide diverse services. Semantics refers to the important meaning of sensory data, sensor nodes and application requirements. Essential semantics enables integration, exchange, and reuse of sensory data across various applications.