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