NDLI: Analyzing data mining techniques for wireless sensor network protocols

Content Provider	IEEE Xplore Digital Library
Author	Patel, T. Udayakumar, P. Vyas, R.
Copyright Year	2015
Description	Author affiliation: SSIPMT, Raipur, India (Patel, T.) \|\| IIIT, Allahabad, India (Vyas, R.) \|\| CCEM, Raipur, India (Udayakumar, P.)
Abstract	In this paper, a structure for extracting and mining wireless sensor data. This structure consists of a new formulation for data mining technique using the association rule by distributed extraction method. The new design express the sequential relations between wireless sensors and association rules using data mining technique for estimating the value of missed events and also to improve the performance. The proposed distributed method is designed with wireless sensor network to improve the network life time by minimizing number of messages required for the mining process. The experiment results have shown that our methodology can reduce the number of exchanged messages at least by 40% compared to the existing other methods. The wireless sensor network automatically collects the information or data. The compressed representation structure (CRS) is able to compress the data and sensor network provides easy and fast collection of data. The mining process of the CRS is compared and analyzed with the FP-Growth, the existing mining algorithm, results have shown that our method is better than FP-Growth.
Starting Page	1673
Ending Page	1678
File Size	171635
Page Count	6
File Format	PDF
ISBN	9789380544151
e-ISBN	9789380544168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Bharati Vidyapeeth University, New Delhi
Subject Keyword	Wireless sensor networks Classification rule Wireless sensor Frequent pattern Media Access Protocol Knowledge discovery Energy efficiency Central Processing Unit Association rules MAC protocols
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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