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Title	Analyzing Energy Consumption In Iot, Fog, And Blockchain Ecosystems
ID_Doc	9494
Authors	Olajide A.O.
Year	2025
Published	Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution
DOI	http://dx.doi.org/10.4018/979-8-3373-0300-0.ch005
Abstract	The rise of Internet of Things (loT) devices, fog computing, and blockchain technologies has reshaped modern distributed systems, but energy consumption poses a critical challenge. This chapter explores energy patterns in loT, fog, and blockchain ecosystems, emphasizing the importance of efficiency. It discusses the interplay between these systems, energy usage in loT devices, network protocols, cloud and edge computing impacts, energy needs in fog computing, and challenges in distributedfog nodes. It also examines the energy implications of blockchain consensus mechanisms like proof-of-work and proof-of-stake, sustainable protocols, and energy-efficient strategies such as machine learning. Real-world examples highlight successful energy-efficient deployments in smart cities and green energy systems. The chapter concludes by stressing the need for energy-efficient practices in designing and implementing these technologies for a sustainable digital future. © 2025 by IGI Global Scientific Publishing. All rights reserved.
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