April 2020
Intermediate to advanced
608 pages
18h 17m
English
Content preview from Fog Computing
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8Fog Computing for Energy Harvesting-enabled Internet of Things
S. A. Tegos1, P. D. Diamantoulakis1, D. S. Michalopoulos2, and G. K. Karagiannidis1
1Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, GR-54124, Thessaloniki, Greece
2Nokia Bell Labs, Munich, Germany
8.1 Introduction
With the current advance of the Internet of Things, mobile devices have a significant impact on our lives, such as healthcare, entertainment, daily life, etc. Nevertheless, the successful integration of mobile devices in these applications depends on their capability to execute a massive number of intensive tasks quickly, despite the potentially limited computing resources. Moreover, emerging wireless technologies are characterized by versatile, yet stringent energy efficiency requirements of the deployed devices. A novel paradigm for network decentralization is fog computing, which offers the capability to offload computation-heavy applications, whereas a promising direction to achieve the energy sustainability of the end nodes is based on the utilization of energy harvesting (EH).
Regarding fog computing, it offers the capability to release the mobile devices from heavy computation workloads by offloading tasks to a fog server. Compared with the conventional remote cloud, offloading workload to a fog server reduces the data traffic, the energy consumption of users, and the transmission latency, as it is placed closer to end users. It is noted that the computation ...
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