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

Autor:	Kryszkiewicz, Pawel, Idzikowski, Filip, Bossy, Bartosz, Kopras, Bartosz, Bogucka, Hanna
Rok vydání:	2021
Předmět:	Computer Science - Networking and Internet Architecture Computer Science - Distributed Parallel and Cluster Computing Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
DOI:	10.1109/PIMRC.2019.8904231
Popis:	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. Comment: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2019
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2104.12913 Zobrazit plný text záznamu View this record from Arxiv