Utilising Artificial Intelligence in Software Defined Wireless Sensor Network

被引:0
|
作者
Matlou, Omolemo Godwill [1 ]
Abu-Mahfouz, Adnan M. [1 ,2 ]
机构
[1] Tshwane Univ Technol, Dept Elect Engn, ZA-0001 Pretoria, South Africa
[2] CSIR, Meraka Inst, Pretoria, South Africa
关键词
AI; WSN; SDN; SDWSN; Machine learning; security; routing; traffic management; LOCALIZATION; ALWADHA; SYSTEM;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 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.
引用
收藏
页码:6131 / 6136
页数:6
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