Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Intelligent Software Defined Energy Management System for IoT networks
Abstract— Recently, ubiquitous computing gained huge advances after internet of things (IoT) has become an essential ecosystem. The combination of high energy consumption and difficulty in timely energy generation, substitution and redistribution present real challenges currently. This paper presents an energy management solution consisting of a combination of a networked energy harvesters, real-time energy consumption monitoring, and energy storage with an intelligent distribution system. The proposed solution is based on the use of a redundant battery that is always kept at a standby energy level and recharged directly from a harvester or a centralized energy storage. The management of consumption and recharging is based on the push-pull hysteresis theory concepts. The proposed system features timely monitor, tracking and controlling power consumption in both the sensor and harvest networks during the entire operation from switching ON, sensing, processing, and communication. The entire system is modeled and simulated using OMNET++ according to different wireless sensor networks technologies. It was confirmed via performing a variety of simulation experiments that the proposed solution remarkably enhanced overall system as well as device power consumption. Moreover, it showed advancement in synchronization, energy management and distribution process, adaptation of communication protocols, controllability, and lifetime accordingly. Keywords- Energy harvesting, Energy management, Internet of Things, Sensor Network. ; https://sites.google.com/site/ijcsis/vol-19-no-3-mar-2021
Intelligent Software Defined Energy Management System for IoT networks
Abstract— Recently, ubiquitous computing gained huge advances after internet of things (IoT) has become an essential ecosystem. The combination of high energy consumption and difficulty in timely energy generation, substitution and redistribution present real challenges currently. This paper presents an energy management solution consisting of a combination of a networked energy harvesters, real-time energy consumption monitoring, and energy storage with an intelligent distribution system. The proposed solution is based on the use of a redundant battery that is always kept at a standby energy level and recharged directly from a harvester or a centralized energy storage. The management of consumption and recharging is based on the push-pull hysteresis theory concepts. The proposed system features timely monitor, tracking and controlling power consumption in both the sensor and harvest networks during the entire operation from switching ON, sensing, processing, and communication. The entire system is modeled and simulated using OMNET++ according to different wireless sensor networks technologies. It was confirmed via performing a variety of simulation experiments that the proposed solution remarkably enhanced overall system as well as device power consumption. Moreover, it showed advancement in synchronization, energy management and distribution process, adaptation of communication protocols, controllability, and lifetime accordingly. Keywords- Energy harvesting, Energy management, Internet of Things, Sensor Network. ; https://sites.google.com/site/ijcsis/vol-19-no-3-mar-2021
Intelligent Software Defined Energy Management System for IoT networks
Salma El-Shaarawi (Autor:in) / Samy Ghoniemy (Autor:in)
03.04.2021
oai:zenodo.org:4661514
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
BASE | 2021
|Controller Placements for Improving Flow Set-Up Reliability of Software-Defined Networks
Springer Verlag | 2020
|