A Hybrid Data Sensing in Intra cluster Communication by using Mac Protocols in Wireless Communication

Wireless Sensor Networks (WSNs) have become increasingly popular due to their numerous beneficial features, such as low power consumption, adaptability, fast response time, reliability, dynamic nature, affordability, and ease of installation, making them applicable in various fields for different purposes. However, effective data sensing in WSNs requires the use of proper Medium Access Control (MAC) protocols. In order to conserve energy and minimize redundant sensing, cluster members transmit their data to the leader node, which is facilitated by appropriate clustering methods. In this study, we propose the Enhanced Energy-efficient Real-time MAC (EERMAC) protocol. The EERMAC protocol uses a combination of two different access methods: CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance) for real-time data and vTDMA (variable Time Division Multiple Access) for periodic data. The proposed EERMAC protocol outperforms existing protocols in terms of packet delivery ratio (PDR), throughput, jitter, and packet drop rates. The queuing model implemented by EERMAC effectively prevents congestion, leading to reduced packet delay. This study presents an innovative solution for addressing the challenges of data sensing in WSNs and showcases the potential of EERMAC to enhance the performance of WSNs for various applications.