Publication

Abstract : The Tabu-Enhanced Green Communication Optimization presents an innovative system designed to bolster the sustainability of Internet support Things (IoT) communication. With the integration of the Tabu Search algorithm, the proposed approach addresses the pressing needs for energy efficiency in IoT, where constant datasets exchanges demand environmentally conscious solutions. The system strategically optimized communication protocols and network paths to minimization of energy consumption. Thus, reduction of the overall carbon footprint. By leveraging the effectiveness of Tabu Search in local search and optimization, the system efficiently explored solution spaces for green communication in the IoT landscape. By emphasizing eco-friendly principles in route selection, the proposed system not only meets connectivity requirements but also contributes to a more sustainable IoT ecosystem. These approaches extend the overall lifespan of battery-powered devices and align with the broader goal in reducing environmental impacts. Tabu-Enhanced Green Communication Optimization gives a significant stride toward achieving a harmonious balance between technological advancements with environmental responsibility in the dynamic realm of IoT.