Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics

Fog computing can be used to offload computationally intensive tasks from battery powered Internet of Things (IoT) devices. Although it reduces energy required for computations in an IoT device, it uses energy for communications with the fog. This paper analyzes when usage of fog computing is more e...

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Veröffentlicht in:arXiv.org 2021-04
Hauptverfasser: Kryszkiewicz, Pawel, Idzikowski, Filip, Bossy, Bartosz, Kopras, Bartosz, Bogucka, Hanna
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Bossy, Bartosz
Kopras, Bartosz
Bogucka, Hanna
description Fog computing can be used to offload computationally intensive tasks from battery powered Internet of Things (IoT) devices. Although it reduces energy required for computations in an IoT device, it uses energy for communications with the fog. This paper analyzes when usage of fog computing is more energy efficient than local computing. Detailed energy consumption models are built in both scenarios with the focus set on the relation between energy consumption and distortion introduced by a Power Amplifier (PA). Numerical results show that task offloading to a fog is the most energy efficient for short, wideband links.
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subjects Cloud computing
Computation offloading
Computer Science - Distributed, Parallel, and Cluster Computing
Computer Science - Networking and Internet Architecture
Energy consumption
Internet of Things
Power amplifiers
Power consumption
title Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics
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