Mathebula, IIsong, BGasela, NAbu-Mahfouz, Adnan MI2021-02-172021-02-172020-11Mathebula, I., Isong, B., Gasela, N. & Abu-Mahfouz, A.M. 2020. Analysis of energy-efficient techniques for SDWSN energy usage optimization. http://hdl.handle.net/10204/11790 .978-1-7281-9520-9978-1-7281-9521-6http://hdl.handle.net/10204/11790Software-Defined Wireless Sensor Networks (SDWSN) has received significant attention in recent years due to its inherent challenges such as network security, trust management, inefficient energy consumption, and so on. In particular, inefficient energy utilization has remained a core critical challenge as sensor nodes are naturally resource constraint and mostly deployed in unattended environments. This challenge has a direct impact on SDWSN performance and reliability. Albeit, several techniques have been proposed and developed to address the challenge in the traditional WSN and few for SDWSN, optimal efficient energy utilization is yet to be achieved. Therefore, this paper survey some of the energy efficiency techniques reported in the literature. The goal is to gain insights into these techniques, strategies employed, their pros and cons which could be utilized to design an efficient-energy mechanism for SDWSN. The findings obtained show that the existing approach ensures efficient energy utilization and improve network performance. While some have routing protocol and security mechanisms, fault tolerance, and battery fault detector mechanisms are not incorporated.FulltextenWireless Sensor NetworksWSNSoftware-Defined Wireless Sensor NetworksSDWSNEnergy efficiencySecurityConference PresentationMathebula, I., Isong, B., Gasela, N., & Abu-Mahfouz, A. M. (2020). Analysis of energy-efficient techniques for SDWSN energy usage optimization. http://hdl.handle.net/10204/11790Mathebula, I, B Isong, N Gasela, and Adnan MI Abu-Mahfouz. "Analysis of energy-efficient techniques for SDWSN energy usage optimization." <i>The 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 25 - 27 November 2020</i> (2020): http://hdl.handle.net/10204/11790Mathebula I, Isong B, Gasela N, Abu-Mahfouz AM, Analysis of energy-efficient techniques for SDWSN energy usage optimization; 2020. http://hdl.handle.net/10204/11790 .TY - Conference Presentation AU - Mathebula, I AU - Isong, B AU - Gasela, N AU - Abu-Mahfouz, Adnan MI AB - Software-Defined Wireless Sensor Networks (SDWSN) has received significant attention in recent years due to its inherent challenges such as network security, trust management, inefficient energy consumption, and so on. In particular, inefficient energy utilization has remained a core critical challenge as sensor nodes are naturally resource constraint and mostly deployed in unattended environments. This challenge has a direct impact on SDWSN performance and reliability. Albeit, several techniques have been proposed and developed to address the challenge in the traditional WSN and few for SDWSN, optimal efficient energy utilization is yet to be achieved. Therefore, this paper survey some of the energy efficiency techniques reported in the literature. The goal is to gain insights into these techniques, strategies employed, their pros and cons which could be utilized to design an efficient-energy mechanism for SDWSN. The findings obtained show that the existing approach ensures efficient energy utilization and improve network performance. While some have routing protocol and security mechanisms, fault tolerance, and battery fault detector mechanisms are not incorporated. DA - 2020-11 DB - ResearchSpace DP - CSIR J1 - The 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 25 - 27 November 2020 KW - Wireless Sensor Networks KW - WSN KW - Software-Defined Wireless Sensor Networks KW - SDWSN KW - Energy efficiency KW - Security LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-9520-9 SM - 978-1-7281-9521-6 T1 - Analysis of energy-efficient techniques for SDWSN energy usage optimization TI - Analysis of energy-efficient techniques for SDWSN energy usage optimization UR - http://hdl.handle.net/10204/11790 ER -24127