NDLI: Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Content Provider	IEEE Xplore Digital Library
Author	Abu Alsheikh, M. Shaowei Lin Niyato, D. Hwee-Pink Tan
Copyright Year	1998
Abstract	Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. To adapt to such conditions, sensor networks often adopt machine learning techniques to eliminate the need for unnecessary redesign. Machine learning also inspires many practical solutions that maximize resource utilization and prolong the lifespan of the network. In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in WSNs. The advantages and disadvantages of each proposed algorithm are evaluated against the corresponding problem. We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.
Starting Page	1996
Ending Page	2018
Page Count	23
File Size	1954428
File Format	PDF
ISSN	1553877X
Volume Number	16
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Routing Machine learning algorithms Clustering algorithms Algorithm design and analysis Principal component analysis Classification algorithms compressive sensing machine learning data mining security localization clustering data aggregation event detection query processing data integrity fault detection medium access control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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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