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Programming wireless sensor networks with logical neighborhoods: a road tunnel use case

Published:06 November 2007Publication History

ABSTRACT

Wireless sensor networks (WSNs) involving actuation are increasingly envisioned in a range of fields. For instance, there is considerable interest in leveraging off WSNs to improve safety in road tunnels [3]. Researchers are envisioning tunnels equipped with WSN nodes that gather physical readings (e.g., light), monitor the structural integrity of the tunnel, and sense the presence of vehicles to detect a possible traffic congestion. Based on sensed data, the system operates a variety of devices, such as ventilation fans inside the tunnel, and traffic lights at the entrances. For instance, when a sensor detects the presence of a fire in a sector, the fans in the same sector are activated, and the traffic lights are turned red to prevent further vehicles from entering the tunnel.

References

  1. A. Dunkels, B. Grönvall, and T. Voigt. Contiki -- a light-weight and flexible operating system for tiny networked sensors. In Proc. of the 1 st IEEE Wkshp. on Embedded Networked Sensors, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Hill et al. System architecture directions for networked sensors. In ASPLOS-IX: Proc. of the 9 th Int. Conf. on Architectural Support for Programming Languages and Operating Systems, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Costa et al. The RUNES middleware for networked embedded systems and its application in a disaster management scenario. In Proc. of the 5 th Int. Conf. on Pervasive Communications (PERCOM), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Madden et al. TinyDB: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst., 30(1), 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. MoteIV Technology, www.moteiv.com.Google ScholarGoogle Scholar
  6. L. Mottola and G. P. Picco. Logical Neighborhoods: A programming abstraction for wireless sensor networks. In Proc. of the the 2 nd Int. Conf. on Distributed Computing on Sensor Systems (DCOSS), 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. L. Mottola and G. P. Picco. Programming wireless sensor networks with Logical Neighborhoods. In Proc. of the 1 st InterSense Conf., 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Programming wireless sensor networks with logical neighborhoods: a road tunnel use case

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      • Published in

        cover image ACM Conferences
        SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems
        November 2007
        455 pages
        ISBN:9781595937636
        DOI:10.1145/1322263
        • General Chair:
        • Sanjay Jha

        Copyright © 2007 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 November 2007

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        Acceptance Rates

        SenSys '07 Paper Acceptance Rate25of149submissions,17%Overall Acceptance Rate174of867submissions,20%

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