Development of Scheduling Based Crossed Layer MAC Protocol to Enhance Quality of Services in IoT Applications

Abstract

In the upcoming years, it is anticipated that cognitive Machine-to-Machine (M2M) communication would become increasingly important and crucial in smart grid networks. Due to difficulties of spectrum scarcity, Cognitive Radio (CR) is a new and auspicious automation that enables users to assign frequency to Primary Users (PU) and Secondary Users (SU) in an unethical manner. This goal of the work is to highlight value of cognitive Medium Access Control (MAC) protocol by aiming upon unique traits of M2M devices as well as requirements for smart grid (SG) connection. As a result, creating a CR system that supports dynamic access to available spectrum is currently thought of as a creative way to expand wireless systems. In this research, proactive and reactive sensing are both taken into account as we investigate MAC layer sensing approaches in Cognitive Radio Network (CRN). In addition, a protocol called Hybrid Cognitive M2M MAC Routing Protocol (HCM2M-MAC) is suggested by calculating probability of channel allocation with effective data transmission as well as interference cancellation by designing frame structure with profitability task to brace extant of cognitive M2M network with PUs and SUs. Consequently, supporting careful balance among several priority class users provided an assurance of avoiding network congestion. To regulate data transmission and interconnectivity of IoT devices, an event triggered sliding mode controller for congestion maintenance (ETSMCC) based on IoT protocol stack for cognitive networks is proposed in this research to improve its capabilities of disturbance rejection and robustness. Using this method, unscrupulous spectrum sharing and efficient congestion control is achieved. Our approach reduces energy expenditures and computational difficulties in the IoT protocol stack. Improved Dynamic Optimization Algorithm (IDOA) is initiated for spectrum sensing in CRN where for Secondary User (SU), data traffic is considered. From the comparison of several works in the literature, it is assumed