NDLI: A new approach for multi-source data prediction in Wireless Sensor Networks: Collaborative filtering

Content Provider	IEEE Xplore Digital Library
Author	Inanloo, M. Ashouri, M. Gheibi, S. Hemmatyar, A.M.A.
Copyright Year	2012
Description	Author affiliation: Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran (Inanloo, M.; Ashouri, M.; Gheibi, S.; Hemmatyar, A.M.A.)
Abstract	The prime shortcoming of Wireless Sensor Networks (WSNs) is their energy constraint. The main energy consumer in a sensor node is its radio transmitter. One of the most effective methods to reduce the data transmission rate is data prediction. By data prediction, the amount of transmitted data is reduced; which results in energy saving and the longevity of the network life. Environmental variations almost have similar effects on different sensor sources in a sensor device. So, considering the correlation between different sources reduces the noise impact and increases data prediction accuracy. In this paper, temporal and multi-source correlations are used, to reduce data transmission in WSNs. We have used item-based collaborative filtering for extracting the relationship between different phenomena sensed by sensors in consequent time points. The extracted information is used to predict data value for the next time points. We conducted our simulations on the actual data collected from 54 sensors deployed in the Intel Berkeley Research lab. According to the simulation results, collaborative filtering reduces transmission rate and computational cost, in comparison to the other state of the art methods. When the error threshold is greater than 0.5, it can decrease more than 98% of data transmissions.
Starting Page	1
Ending Page	6
File Size	148761
Page Count	6
File Format	PDF
ISBN	9781467358309
e-ISBN	9781467358316
e-ISBN	9781467358293
DOI	10.1109/WCSP.2012.6542800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaborative Filtering Wireless Sensor Network Multi source Data Prediction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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