This paper presents an analysis of energy consumption performance in wireless sensor networks (WSNs). One of the crucial problems for WSNs is designing an efficient medium access control (MAC) protocol to reduce energy waste when the wireless communication module of the sensor network is operating. The energy efficiency of the MAC protocol makes a strong impact on the lifetime of the sensor network. Energy efficiency remains one of the most critical challenges in Wireless Sensor Networks (WSNs) and Internet of Things (IoT) systems. Traditional MAC protocols such as Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) suffer from high-energy consumption due to idle listening and collisions, while deterministic approaches like IEEE 802.15.4e TSCH provide reliability but lack adaptability. A novel hybrid MAC protocol that integrates Time Slotted Channel Hopping (TSCH), wake-up radio technology, and machine learning techniques to optimize energy consumption while maintaining high reliability and low latency. We propose a new algorithm called Slot-Time Sensor Network (SS-MAC) based on a hybrid MAC protocol that optimizes energy consumption. Simulation results demonstrate that the proposed approach reduces energy consumption by up to 75% compared to conventional protocols while improving packet delivery ratio and latency performance.
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