Improving Internet of Things Application Efficiency via Synergistic Integration of LoRaWAN MAC Protocols for Enhanced Performance

Internet of Things' (IoT) tremendous expansion, there are now more linked devices than at any other time in history. Because of their huge coverage area and low power consumption, low-power wide-area networks, or LoRaWAns, have swiftly taken over as the norm for Internet of Things installations. The present LoRaWAn Mac (Medium Access Control) protocols struggle to accommodate many devices while maintaining optimal performance. This is true even though these strategies have a number of advantages. This paper proposes a unique method for improving the performance of LoRaWAn-based Internet of Things applications by merging three difficult MAC protocols in a synergistic manner. The adaptive data rate (ADR) algorithm is used to make real-time data rate adjustments; the dynamic channel allocation (DCA) algorithm is used to effectively allocate channels; and the priority-based channel access (PCA) algorithm is used to prioritize critical data transmissions. All three of these algorithms are referred to as “algorithms.” All these algorithms are combined into a tiny package known as priority-based channel access (PCA). The integrated solution outperforms more standard MAC protocols in terms of efficacy, scalability, and dependability. The purpose of this essay is to offer a comprehensive response to the challenges associated with adopting LoRaWAn for general use in IoT.