تقييم أداء خوارزميات الجدولة الاستدلالية العليا لتوفير الطاقة في شبكات انترنت الأشياء الخضراء المستندة إلى السحابة

Abstract

The reliance on Green IoT networks and technologies has began, as a result of what current Internet of Things networks cause and its wide spread of carbon emissions and electronic footprint, and the power that consumed in this networks. This wide spread was accompanied by an increase in the data traffic of these networks, so these networks started to work on (IPv6) addresses, which cause to deficiencies in the current technologies in terms of the amount of power that used for this networks. So the major focus today has moved towards energy-efficient solutions. Today's bottleneck in up-to-date system design is not only computational capabilities or transmission rate, but also power limitations.

Over the past ten years, there has been increasing interest of researchers and academia in reducing the amount of energy consumed by Internet of Things networks, where scheduling the sleep and tasks of Internet of Things devices had a significant impact on the whole of energy consumption of these networks. Therefore, this research aims to continue evaluating the performance of latest scheduling techniques that used optimization and metaheuristic algorithms to reduce energy consumption in Internet of Things environments, this will done by a practical simulation of this network environment using (MATLAB R2022a), as its results show the large amount of energy that varies in its consumption savings between the three algorithms (SSA, HHO, PSO).