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Eco-Intelligent 6G Deployment: A Data-Driven Multi-Objective Framework for Sustainable Impact Analysis and Optimization
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Author(s): Gripsy J. Viji (PSGR Krishnammal College for Women, Coimbatore, India), L Sheeba (PSGR Krishnammal College for Women, Coimbatore, India), Deepa Kumar (SR University, Warangal, India), Banu N. Sharmila (SR University, Warangal, India)and Bobby Lukose (krupanidhi College of Management, Bangalore, India)
Copyright: 2025
Pages: 36
Source title:
6G Impacts on Natural Habitats and Human Life
Source Author(s)/Editor(s): Shameemul Haque (Srinath University, Jamshedpur, India)and Shashi Kant Singh (Srinath University, Jamshedpur, India)
DOI: 10.4018/979-8-3373-2220-9.ch008
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Abstract
The sixth-generation technology will transform the world of global connectivity with data speeds never even thought possible, effortless automation, and improved interaction with smart cities and IoT. Consequently, challenges arise in implementing this framework through data integration from diverse sources to maintain the accuracy of the models under varying conditions and proactive engagement with stakeholders to enhance model parameters and regulatory standards. This research work addresses these problems by analyzing several 6G consequences, from energy consumption, with the proposed Sustainable Impact Analysis and Optimization Framework (SIAOF) for implementing 6G. The technique of SIAOF encompasses multilayer collecting of data sourced from multiple levels, modelling weighted environmental and socio-economic ratings to optimize both network performance against negative consequences in multi-objective optimization. Advanced methodologies including NSGA-II for Pareto optimization and dynamic feedback mechanisms, allow real-time adjustment of deployment tactics.
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