Journal of Machine and Computing


Enhancing Energy Efficiency and Data Security in Smart City Grids Using Bio-Inspired Algorithms and Blockchain Technology



Journal of Machine and Computing

Received On : 18 June 2024

Revised On : 28 August 2024

Accepted On : 01 October 2024

Volume 05, Issue 02


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Abstract


One of the primary problems in the context of modernizing ways in "smart cities is the energy efficiency and data security of smart grids. Wireless sensor networks and improved metering infrastructures enable intelligent energy system management, turning traditional towns into "smart communities." This article proposes a smart city energy paradigm in which prosumer community’s network energy-independent households to generate, consume, and share clean energy on a decentralized trading platform using blockchain technology and a smart Microgrid. Smart Microgrid enable this. A smart Microgrid-based smart city energy concept is also proposed. Wireless sensor nodes that manage a lot of network data increased the grid network's efficiency and stability. The sensors' energy quickly runs out due to the long communication distances between nodes and the base station, shortening the network's lifespan. Thus, bio-inspired algorithms were presented to improve routing by finding the shortest path throughout the network. This improved cluster head selection, energy usage, and network longevity. It was accomplished by learning about the best practices for solving a problem in biological systems and then implementing those practices in the realm of communication. This all-inclusive approach utilizes particle swarm optimization and a genetic algorithm to find the best answer rapidly and efficiently to any problem”.


Keywords


Microgrid, Meta heuristic Algorithms, Wireless Sensor Network, Particle Swarm Optimization, Advanced Metering Infrastructure, Blockchain, Ethereum.


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Acknowledgements


We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.


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Cite this article


Mahamoodkhan Pathan, Rameshkumar J, Chintalapudi V Suresh, “Enhancing Energy Efficiency and Data Security in Smart City Grids Using Bio-Inspired Algorithms and Blockchain Technology”, Journal of Machine and Computing. doi: 10.53759/7669/jmc202505051.


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© 2025 Mahamoodkhan Pathan, Rameshkumar J, Chintalapudi V Suresh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.