A Survey on Security and Network management of SDWSN with ML Technique

Wireless Sensor Networks (WSN), is the foundation of today's technology of the sensor world(IoT). A traditional WSN tends to gather datafrom dynamic environmental conditions to perform a specific task but it finds difficulty in responding always to the frequently changing environment apart from the assigned task. To address this problem, Software Defined Wireless Sensor Network (SDWSN) has been proposed which is the association of a Software Defined Network and WSN. This paper focuses on the present scenario and issues of SDWSN in terms of security and network management. From this survey, reader can witness the state of art of the evolving investigation that integratesMachine Learning (ML) with SDWSN together called, ML-SDWSN. Many implementation problems of SDWSN can be overridden with a centralized approach and intelligent algorithms of ML-SDWSN. This survey gives the perception of educational and industrial researchers on the present state of SDWSN with ML techniques to contribute to the flourishing technology.