Modelo de coordenação híbrida multi-rat para otimização de energia e qualidade em comunicações D2D em IOT

Abstract

Wireless Sensor Networks (WSNs) are essential for large-scale environmental monitoring in smart city scenarios. In such environments, direct interconnectivity among all network segments and the processing center is often limited by range and node density. A robust approach integrates WSNs with LTE-assisted Device-to-Device (D2D) communications, thereby enabling centralized and efficient orchestration. This thesis presents a hybrid communication strategy that employs the Hungarian algorithm (Munkres) for optimal Cluster Head election, aiming to minimize global energy consumption. The proposed solution is distinguished by its emphasis on Quality of Service (QoS), using the Link Quality Indicator (LQI) as a primary constraint to ensure the integrity of real-time video streams. Through ns-3 simulations, it is demonstrated that the proposed approach optimizes network lifetime and reduces total energy consumption compared to purely ad-hoc architectures, validating the effectiveness of assisted coordination in preserving energy resources and ensuring systemic reliability.