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Sustainability analysis for fog nodes with renewable energy supplies

journal contribution
posted on 2019-08-01, 00:00 authored by J Jiang, Longxiang GaoLongxiang Gao, J Jin, T H Luan, Shui Yu, Yong XiangYong Xiang, S Garg
There is a growing interest in the use of renewable energy sources to power fog networks in order to mitigate the detrimental effects of conventional energy production. However, renewable energy sources, such as solar and wind, are by nature unstable in their availability and capacity. The dynamics of energy supply hence impose new challenges for network planning and resource management. In this paper, the sustainable performance of a fog node powered by renewable energy sources is studied. We develop a generic analytical model to study the energy sustainability of fog nodes powered by renewable energy sources, by generalizing the leaky bucket model to shape and police traffic source for rate-based congestion control in high-speed fog networks. Based on the closed-form solutions of energy buffer analysis, i.e., the energy depletion probability and mean energy length, we study the energy sustainability in two special but real-happening scenarios. The experimental results show that with proper design the leaky bucket model effectively reflects the energy sustainability of data traffic in fog networks. Numerical results also reveal that the model performance is sensitive to certain traffic source characteristics in fog networks.

History

Journal

IEEE internet of things journal

Volume

6

Issue

4

Pagination

6725 - 6735

Publisher

Institute of Electrical and Electronics Engineers

Location

Piscataway, N.J.

ISSN

2327-4662

eISSN

2327-4662

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2019, IEEE