Utilising artificial intelligence in software defined wireless sensor network

Omolemo Godwill Matlou, Adnan M. Abu-Mahfouz
2017 IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society  
Software Defined Wireless Sensor Network (SDWSN) is realised by infusing Software Defined Network (SDN) model in Wireless Sensor Network (WSN) , Reason for that is to overcome the challenges of WSN. Artificial Intelligence (AI) and machine learning play an important role in our society, give rise to systems that can manage themselves. WSNs have been used in various industrial applications, where reliability and network performance are critical success factors. Many advanced AI techniques can be
more » ... utilised to improve the performance and reliability of these applications. Investigating the AI algorithms applied to SDN may bring improved network management, security or routing in SDWSN which may result in a more reliable network. We look at machine learning algorithms applied in SDN and discuss the possibility of using these AI in SDWSN to address the WSN challenges and improve its performance and reliability.  Dynamic environments change over time and sensor nodes are used to monitor these changes, sensor nodes must adapt and operate efficiently.  Data is sometimes gathered in locations that are unreachable, dangerous and unpredictable thus selfcalibration network will be essential. The author of [21] review different applications of AI applied to different parts of SDN mainly routing, security and network management. Bai [22] focused more on network routing problems that can be addressed using AI. However, the focus of this paper will be more in the potential of utilising AI
doi:10.1109/iecon.2017.8217065 dblp:conf/iecon/MatlouA17 fatcat:xv46bnzuwrdtvdfqgasdotdroa