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Title	Eco-Intelligent 6G Deployment: A Data-Driven Multi-Objective Framework For Sustainable Impact Analysis And Optimization
ID_Doc	21627
Authors	Viji G.J.; Sheeba L.; Kumar D.; Sharmila B.N.; Lukose B.
Year	2025
Published	6G Impacts on Natural Habitats and Human Life
DOI	http://dx.doi.org/10.4018/979-8-3373-2220-9.ch008
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. © 2025 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.
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