Carbon Footprint Minimization in 5G Networks Using Blockchain Integrated Renewable Energy Management Framework
- Title
- Carbon Footprint Minimization in 5G Networks Using Blockchain Integrated Renewable Energy Management Framework
- Creator
- Dsouza, Mithun; Sreenivasa, B.L.; Sathyanarayana, S.; Landage, Rajkumar Prabhakar; Sajiv, G.; Karthik, M.
- Description
- The rapid growth of 5G networks has created a huge upsurge in energy consumption, raising severe issues regarding carbon emissions and sustainability. Although current strategies like energy-efficient routing, smart grid optimization, and renewable energy integration have tried to counter these impacts, they suffer from a lack of real-time optimization and decentralized control, leading to inefficient carbon reduction and unacceptable energy cost efficiency. In order to fill these gaps, this study presents a novel framework known as BAREO-LP (Blockchain-Assisted Renewable Energy Optimization using Linear Programming) which incorporates blockchain-based peer-to-peer energy trading, renewable energy (solar and battery) modeling, and an emission-conscious linear programming optimization framework. The developed model is utilized through the Python programming language and evaluated on the publicly available 5G-Energy Consumption Dataset from Kaggle. Experimental outcomes show a 58% decrease in carbon emissions and a 32% cost reduction against conventional grid-based and smart grid scenarios. The method also gains an accuracy gain of 16% in energy demand forecasting with minimized load balancing and resource optimization. The blockchain module provides trust and transparency in peer-to-peer energy trading, making the model scalable and realizable in real-world 5G implementations. This multi-faceted strategy sets a new standard for green communication infrastructures and calls for further investigation in sustainable 5G network planning. 2025 IEEE.
- Source
- 2025 IEEE Pune Section International Conference, PuneCon 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Blockchain; Carbon Emission; Carbon Footprint; Linear Programming; Renewable Energy
- Coverage
- Dsouza M., Christ (Deemed to be University), Department of Computer Science, Karnataka, Bangalore, India; Sreenivasa B.L., School of It, St Aloysius (deemed to be university), Institute of Management and Information Technology, Mangalore, India; Sathyanarayana S., Daksha First Grade College, Department of Computer science, Mysore, India; Landage R.P., Punyashlok Ahilyadevi Holkar Solapur University, N B Navale Sinhgad College of Engineering, Department: Electrical, Maharashtra, Solapur, India; Sajiv G., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences [SIMATS], Saveetha University, Department of Ece, Tamil Nadu, Chennai, India; Karthik M., K.Ramakrishnan College of Engineering, Department of Ai & Ds, Trichy, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833158834-2;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Dsouza, Mithun; Sreenivasa, B.L.; Sathyanarayana, S.; Landage, Rajkumar Prabhakar; Sajiv, G.; Karthik, M., “Carbon Footprint Minimization in 5G Networks Using Blockchain Integrated Renewable Energy Management Framework,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26199.