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A Survey on Software-Defined Wireless Sensor Networks: Current status, machine learning approaches and major challenges

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posted on 20.10.2021, 20:50 by Fabian Fernando Jurado LassoFabian Fernando Jurado Lasso, Letizia Marchegiani, Jesus Fabian Jurado, Adnan Abu Mahfouz, Xenofon FafoutisXenofon Fafoutis
This paper is aimed to present a comprehensive survey of relevant research over the period 2012-2021 of Software-Defined Wireless Sensor Network (SDWSN) proposals and Machine Learning (ML) techniques to perform network management, policy enforcement, and network configuration functions. This survey provides helpful information and insights to the scientific and industrial communities, and professional organisations interested in SDWSNs, mainly the current state-of-art, machine learning techniques, and open issues.

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Email Address of Submitting Author

ffjla@dtu.dk

ORCID of Submitting Author

0000-0002-5005-781X

Submitting Author's Institution

Technical University of Denmark

Submitting Author's Country

Denmark