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High-fidelity environmental monitoring using wireless sensor networks

Published:11 November 2013Publication History

ABSTRACT

The system is environment monitoring service based on Wireless Sensor Networks (WSN). Users can know temperature, humidity, light, and CO2 level in real time. Excessive electricity consumption by lighting in the office can be saved and the quality of the office environment can become better by controlling lighting and CO2 level.

References

  1. S. Dawson-Haggerty, X. Jiang, G. Tolle, J. Ortiz, and D. Culler. smap: a simple measurement and actuation profile for physical information. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys '10, pages 197--210, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Kang, J. Kim, D.-H. Yeo, J. Hyun, K. Jo, T. Choi, P.-M. Jung, H. Kim, S. C. Lee, and S. Kim. Modular approach in sensor board design. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, SenSys '12, pages 365--366, New York, NY, USA, 2012. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
    November 2013
    443 pages
    ISBN:9781450320276
    DOI:10.1145/2517351

    Copyright © 2013 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 11 November 2013

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    Qualifiers

    • research-article

    Acceptance Rates

    SenSys '13 Paper Acceptance Rate21of123submissions,17%Overall Acceptance Rate174of867submissions,20%

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