NDLI: Spectrum Decision in Wireless Sensor Networks Employing Machine Learning

Content Provider	IEEE Xplore Digital Library
Author	Silva, V.F. Macedo, D.F. Leoni, J.L.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. Dept., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil (Silva, V.F.; Macedo, D.F.; Leoni, J.L.)
Abstract	Wireless Sensor Networks (WSNs) employ ISM spectrum bands for communication, which are overloaded due to various technologies such as WLANs and other WSNs. Therefore, such networks must employ intelligent methods such as Cognitive Radio to coexist with other networks. This study evaluates the use of Supervised Machine Learning (ML) for channel selection in WSNs, considering the channel quality and communication metrics. The methods were evaluated experimentally and compared with energy-based methods. The results show that ML-based methods increase the communication performance by reducing the number of transmission attempts and therefore also reducing the delivery delay.
Sponsorship	Microsoft Res.
Starting Page	386
Ending Page	393
File Size	395818
Page Count	8
File Format	PDF
ISBN	9781479956128
DOI	10.1109/SBRC.2014.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-05
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Irrigation Wireless sensor networks Additives IEEE 802.11 Standards Cognitive Radio RNA Quality of service Wireless Sensor Networks Machine Learning Regression tree analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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