Semantic sensor net: an extensible framework

  • Authors:
  • Lionel M. Ni;Yanmin Zhu;Jian Ma;Minglu Li;Qiong Luo;Yunhao Liu;S. C. Cheung;Qiang Yang

  • Affiliations:
  • Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong;Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong

  • Venue:
  • ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
  • Year:
  • 2005

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Abstract

Existing approaches for sensor networks suffer from a number of critical drawbacks. First, homogeneous deployments have been commonly assumed, but in practice multiple deployments of sensor nets and heterogeneity of sensor networks are a serious problem. Second, existing approaches are very application-dependent and engineering-oriented. Third, there has been little standard available for WSNs. These drawbacks have significantly limited the further development of sensor networks. To overcome these critical drawbacks, we propose an extensive framework: Semantic Sensor Net (SSN). In brief, a semantic sensor net is a heterogeneous sensor network which enables dynamic tagging of semantic information to sensory data to allow more efficient and systematic monitoring and handling of the environmental dynamics to provide demanded services.