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As wireless communication evolves towards 6G, energy-efficient methods are essential for wireless sensor networks (WSNs). The research discusses the limitations of existing systems, which frequently lack optimization for 6G technologies. Inefficiencies in these systems include suboptimal energy consumption, higher latency, and reduced reliability. In response, a novel communication protocol suited for 6G-enabled WSNs is proposed in the study. The system integrates adaptive duty cycling, context-aware routing, and machine learning, considerably boosting energy efficiency, lowering latency, and increasing overall reliability. The simulation results obtained from NS-3 indicate the superiority of proposed protocol. The average energy consumption is reduced from 173 to 108 units/joule, the average latency is reduced from 37 to 21.7 milliseconds, and the average reliability is increased from 85% to 90.3%. The results highlight the feasibility of the proposed system for practical application, providing a promising solution for energy-efficient communication in the 6G era.
Ranganayagi et al. (Tue,) studied this question.