Efficient fume diffusion spotting in heterogeneous sensor networks

  • Authors:
  • Xiaoning Cui;Qing Li;Baohua Zhao

  • Affiliations:
  • University of Science & Technology of China, Hefei, China and City U-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;City U-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;University of Science & Technology of China, Hefei, China and City U-USTC Advanced Research Institute, Suzhou, China

  • Venue:
  • Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks
  • Year:
  • 2008

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Abstract

Recent studies of sensor networks concerning large-scale issues and the diverse nature of real-world context have witnessed the debate on homogeneous and heterogeneous sensor networks recently. In this paper, a fume-diffusion-spotting sensor network is investigated based on heterogeneous sensor collaboration, giving inspiration for a suite of similar event-diffusion-monitoring applications. In our heterogeneous sensor network, the energy consumption and the sensitivity of diffusion spotting are tested, with the results showing notable advantage compared to the homogeneous network. The scalability performance is also considered and verified through experiment.