Smart City Gnosys
Smart city article details
| Title | Enhancing Energy Efficiency And Data Security In Smart City Grids Using Bio-Inspired Algorithms And Blockchain Technology |
|---|---|
| ID_Doc | 23794 |
| Authors | Pathan M.; Rameshkumar J.; Suresh C.V. |
| Year | 2025 |
| Published | Journal of Machine and Computing, 5, 2 |
| DOI | http://dx.doi.org/10.53759/7669/jmc202505051 |
| 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”. ©2025 The Authors. Published by AnaPub Publications. |
| Author Keywords | Advanced Metering Infrastructure; Blockchain; Ethereum; Meta Heuristic Algorithms; Microgrid; Particle Swarm Optimization; Wireless Sensor Network |
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