Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture

Abstract

Internet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT architectures would reduce the energy impact from billions of IoT devices. The research presented in this paper proposes an optimization framework that considers energy consumption of nodes when selecting a node for processing an IoT request in edge-fog-cloud layered architecture. The IoT use cases considered in this paper include smart grid, autonomous vehicles, and eHealth. The proposed framework is evaluated using CPLEX simulations. The results provide insights into mechanisms that can be used to select nodes energy-efficiently whilst meeting the application requirements and other network constraints in multi-layered IoT architectures.

Design of load-aware resource allocation for heterogeneous fog computing systems

“…This paradigm includes a cloud server for the provision of high computational services in a centralized manner and also for distributing the resources near the sensor nodes through fog devices. The fog nodes provide on-demand computational services near the source nodes by using their limited resources ( Fereira et al, 2023 ). The fog-cloud computing architecture also provides abundant computational resources through cloud servers for the execution of complex computational tasks.…”