Fog Computing for Energy Harvesting‐enabled Internet of Things

This chapter considers the integration of fog computing and energy harvesting (EH) according to which tasks can either be executed locally or offloaded to a fog server. It examines both EH from ambient sources and wireless power transfer. The chapter presents a review of resource allocation problems...

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Hauptverfasser: Tegos, S. A, Diamantoulakis, P. D, Michalopoulos, D. S, Karagiannidis, G. K
Format: Buchkapitel
Sprache:eng
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Zusammenfassung:This chapter considers the integration of fog computing and energy harvesting (EH) according to which tasks can either be executed locally or offloaded to a fog server. It examines both EH from ambient sources and wireless power transfer. The chapter presents a review of resource allocation problems, emphasizing their categorization, comparison, e.g. in terms of a common objective, and the identified challenges. It investigates some future research challenges. The chapter also examines fog computing system with EH mobile users (MUs). Fog systems with EH MUs call for redesigned offloading policies, which become more complex than the ones of mobile cloud computing systems. The chapter also presents two characteristic examples i.e. the tradeoff between the energy consumption and the latency and the one between the execution delay and the task dropping cost.
DOI:10.1002/9781119551713.ch8