Energy-efficient communication in edge computing iot networks

Authors

  • Aryan Pandey * School of Computer Science Engineering, KIIT (Deemed to Be) University, Bhubaneswar – 751024, Odisha, India

https://doi.org/10.22105/metaverse.v2i1.47

Abstract

The rapid growth of Internet of Things (IoT) devices necessitates the development of energy-efficient communication strategies, particularly in edge computing environments where resource limitations are a primary concern. This paper presents a novel framework to enhance energy efficiency in edge computing IoT networks by integrating adaptive routing algorithms and data compression techniques. Our approach minimizes energy consumption while maintaining optimal data transmission rates and low latency. Extensive simulations and practical implementations demonstrate that our framework achieves up to 30% reduction in energy usage compared to traditional methods without compromising communication reliability. We also discuss the trade-offs between energy efficiency and network performance, providing valuable insights for various IoT applications. This research contributes to advancing sustainable IoT solutions, paving the way for more efficient edge computing systems.

Keywords:

Energy efficiency, Edge computing, Internet of things, Resource optimization, Latency reduction

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Published

2025-03-06

Issue

Vol. 2 No. 1 (2025): Metaversalize

Section

Articles

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How to Cite

Pandey, A. . (2025). Energy-efficient communication in edge computing iot networks. Metaversalize, 2(1), 21-30. https://doi.org/10.22105/metaverse.v2i1.47
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