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Trend cluster based interpolation everywhere in a sensor network

Authors:

Angelo MuoloAuthors Info & Claims

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

Pages 827 - 828

https://doi.org/10.1145/2245276.2245436

Published: 26 March 2012 Publication History

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Abstract

The information acquisition in a pervasive sensor network is often affected by faults due to power outage at nodes, wrong time synchronizations, interference, network transmission failures, sensor hardware issues or excessive energy consumption for communications. These issues impose a trade-off between the precision of the measurements and the costs of communication and processing, which are directly proportional to the number of sensors.

References

[1]

http://climate.geog.udel.edu/~climate/html_pages/sa_air_clim.html.

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[2]

A. Ciampi, A. Appice, and D. Malerba. Summarization for geographically distributed data streams. In KES 2010, volume 6278 of LNCS, pages 339--348. Springer-Verlag, 2010.

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[3]

A. Ciampi, A. Appice, D. Malerba, and P. Guccione. Trend cluster based compression of geographically distributed data streams. In CIDM 2011, pages 168--175. IEEE, 2011.

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Guccione PAppice ACiampi AMalerba D(2012)Trend Cluster Based Kriging Interpolation in Sensor Data NetworksModeling and Mining Ubiquitous Social Media10.1007/978-3-642-33684-3_7(118-137)Online publication date: 2012
https://doi.org/10.1007/978-3-642-33684-3_7
Ciampi AAppice AGuccione PMalerba D(2012)Integrating trend clusters for spatio-temporal interpolation of missing sensor dataProceedings of the 11th international conference on Web and Wireless Geographical Information Systems10.1007/978-3-642-29247-7_15(203-220)Online publication date: 12-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-29247-7_15
Guccione PAppice ACiampi AMalerba D(2011)Trend cluster based kriging interpolation in sensor data networksProceedings of the 2011th International Conference on Modeling and Mining Ubiquitous Social Media - 2011 International Workshop on Modeling Social Media and 2011 International Workshop on Mining Ubiquitous and Social Environments10.5555/3120657.3120664(118-137)Online publication date: 9-Oct-2011
https://dl.acm.org/doi/10.5555/3120657.3120664

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Published In

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

March 2012

2179 pages

ISBN:9781450308571

DOI:10.1145/2245276

Conference Chairs:
Sascha Ossowski
University Rey Juan Carlos, Spain
,
Paola Lecca
The Microsoft Research - University of Trento COSBI, Italy

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2012

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SAC 2012: ACM Symposium on Applied Computing

March 26 - 30, 2012

Trento, Italy

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SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

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Guccione PAppice ACiampi AMalerba D(2012)Trend Cluster Based Kriging Interpolation in Sensor Data NetworksModeling and Mining Ubiquitous Social Media10.1007/978-3-642-33684-3_7(118-137)Online publication date: 2012
https://doi.org/10.1007/978-3-642-33684-3_7
Ciampi AAppice AGuccione PMalerba D(2012)Integrating trend clusters for spatio-temporal interpolation of missing sensor dataProceedings of the 11th international conference on Web and Wireless Geographical Information Systems10.1007/978-3-642-29247-7_15(203-220)Online publication date: 12-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-29247-7_15
Guccione PAppice ACiampi AMalerba D(2011)Trend cluster based kriging interpolation in sensor data networksProceedings of the 2011th International Conference on Modeling and Mining Ubiquitous Social Media - 2011 International Workshop on Modeling Social Media and 2011 International Workshop on Mining Ubiquitous and Social Environments10.5555/3120657.3120664(118-137)Online publication date: 9-Oct-2011
https://dl.acm.org/doi/10.5555/3120657.3120664

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An efficient cluster-based communication protocol for wireless sensor networks

Exact and heuristic algorithms for data-gathering cluster-based wireless sensor network design problem

Corona based deployment strategies in wireless sensor network

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