NDLI: An energy-aware spatial correlation mechanism to perform efficient data collection in WSNs

Content Provider	IEEE Xplore Digital Library
Author	Villas, L.A. Boukerche, A. Guidoni, D. Araujo, R.B. Loureiro, A.A.F.
Copyright Year	2011
Description	Author affiliation: PARADISE Research Laboratory - SITE, University of Ottawa, Ottawa, Canada (Boukerche, A.) \|\| UWL - Research Laboratory, Federal University of Minas Gerais, Belo Horizonte, Brazil (Villas, L.A.; Guidoni, D.; Loureiro, A.A.F.) \|\| WINDIS - Research Laboratory, Federal University of Sao Carlos, Sao Carlos, Brazil (Araujo, R.B.)
Abstract	Dense sensor networks are typically deployed for fine-grain monitoring in a wide range of applications. Due to this high density of nodes, it is very likely that both spatially correlated information and redundant data be detected by several nearby nodes, which can be exploited to save energy by these nodes that are sensing an event. In this work, we propose an Energy-Aware Spatial Correlation mechanism (ESC) based on correlation regions to perform efficient data collection. The sensed information of a region is forwarded to the sink by only one node inside that region. Also, the area of a correlation region can be changed dynamically by the sink node to achieve the required accuracy of the sensed information. Simulation results show that using ESC, an event can be sensed with 97% of accuracy, and 75% of the nodes' residual energy can be saved within the phenomena area when compared with the classical approach for data collection.
Starting Page	882
Ending Page	889
File Size	492801
Page Count	8
File Format	PDF
ISBN	9781612849263
ISSN	07421303
e-ISBN	9781612849287
DOI	10.1109/LCN.2011.6115567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-04
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Wireless sensor networks Energy consumption Accuracy Clustering algorithms Routing Algorithm design and analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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