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The national weather sensor grid

Published: 06 November 2007 Publication History

Abstract

With the rapid advances in technologies such as MEMS sensors, low-power embedded processing and wireless networking, sensor networks are becoming more powerful in terms of data acquisition and processing capabilities. Sensor networks can now be deployed in the physical world for various important applications such as environmental monitoring, weather monitoring and modeling, military surveillance, healthcare monitoring, tracking of goods and manufacturing processes, smart homes and offices, etc.

References

[1]
H. B. Lim, Y. M. Teo, P. Mukherjee, V. T. Lam, W. F. Wong, and S. See, "Sensor grid: Integration of wireless sensor networks and the grid," Proc. of the 30th IEEE Conference on Local Computer Networks (LCN 2005), pp. 91--98, Nov 2005.
[2]
S. Nath, J. Liu, F. Zhao, "SensorMap for Wide-Area Sensor Webs," IEEE Computer, Vol. 40, No. 7, pp. 90--93, Jul 2007.

Cited By

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  • (2022)Intelligent data post and read data system like to feed for IoT sensorsInternational Journal of System Assurance Engineering and Management10.1007/s13198-022-01683-5Online publication date: 10-Jun-2022
  • (2020)Real-Time Weather Monitoring and Prediction Using City Buses and Machine LearningSensors10.3390/s2018517320:18(5173)Online publication date: 10-Sep-2020
  • (2016)Open source semantic web infrastructure for managing IoT resources in the CloudInternet of Things10.1016/B978-0-12-805395-9.00002-2(29-48)Online publication date: 2016
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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
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: 06 November 2007

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Author Tags

  1. data visualization
  2. grid computing
  3. sensor data management
  4. sensor grid
  5. sensor networks
  6. web integration

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SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;
Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

View all
  • (2022)Intelligent data post and read data system like to feed for IoT sensorsInternational Journal of System Assurance Engineering and Management10.1007/s13198-022-01683-5Online publication date: 10-Jun-2022
  • (2020)Real-Time Weather Monitoring and Prediction Using City Buses and Machine LearningSensors10.3390/s2018517320:18(5173)Online publication date: 10-Sep-2020
  • (2016)Open source semantic web infrastructure for managing IoT resources in the CloudInternet of Things10.1016/B978-0-12-805395-9.00002-2(29-48)Online publication date: 2016
  • (2010)A dynamic and fast event matching algorithm for a content-based publish/subscribe information dissemination system in Sensor-GridThe Journal of Supercomputing10.1007/s11227-009-0327-054:3(330-365)Online publication date: 1-Dec-2010
  • (2008)Community sensor gridsProceedings of the First Workshop on Virtualization in Mobile Computing10.1145/1622103.1622105(49-54)Online publication date: 17-Jun-2008

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