In this paper,we developed a new customizable low energy Software Defined Networking(SDN)based Internet of Things(IoT)platform that can be reconfigured according to the requirements of the target IoT applications.Tech...In this paper,we developed a new customizable low energy Software Defined Networking(SDN)based Internet of Things(IoT)platform that can be reconfigured according to the requirements of the target IoT applications.Technically,the platform consists of a set of low cost and energy efficient single-board computers,which are interconnected within a network with the software defined configuration.The proposed SDN switch is deployed on Raspberry Pi 3 board usingOpen vSwitch(OvS)software,while theFloodlight controller is deployed on the Orange Pi Prime board.We firstly presented and implemented the method formeasuring a delay introduced by each component of the IoT infrastructure,ranging from the sensor,the core of SDN,the IoT broker,to an IoT subscriber.Thus,we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic.The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56%of energy at low traffic intensity,but also provides QoS guarantee for IoT applications.展开更多
基金This research was supported by the Ukrainian Project No.0120U102201“Development the methods and unified software-hardware means for the deployment of the energy efficient intent-based multi-purpose information and communication networks”.
文摘In this paper,we developed a new customizable low energy Software Defined Networking(SDN)based Internet of Things(IoT)platform that can be reconfigured according to the requirements of the target IoT applications.Technically,the platform consists of a set of low cost and energy efficient single-board computers,which are interconnected within a network with the software defined configuration.The proposed SDN switch is deployed on Raspberry Pi 3 board usingOpen vSwitch(OvS)software,while theFloodlight controller is deployed on the Orange Pi Prime board.We firstly presented and implemented the method formeasuring a delay introduced by each component of the IoT infrastructure,ranging from the sensor,the core of SDN,the IoT broker,to an IoT subscriber.Thus,we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic.The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56%of energy at low traffic intensity,but also provides QoS guarantee for IoT applications.
