Priority-based resource allocation in layering LoRaWAN

Abstract

Network applications for the Internet of Things (IoT) frequently use Long-Range (LoRa) technology. It allows tiny wireless devices to transmit data at low volumes. The idea behind LoRa networks, or Low-Power Wide Area Networks (LPWAN), is to use airborne data transmission from sensors with a transmission range of no more than 10 km. These sensors run on batteries and should not be connected to the electrical grid. Because of the benefits of Long-Range Wide Area Network (LoRaWAN) private networks, users have implemented various services in a single LoRaWAN system to realize a range of intelligent applications. LoRaWAN faces difficulties with multiservice coexistence as the number of applications grows because of insufficient channel resources, disorganized network configuration, and scalability problems. Creating a sensible plan for allocating resources is the best course of action. Nevertheless, current methods are inapplicable to LoRaWAN systems that support several services with varying criticalities. To coordinate multiservice networks, we therefore suggest a priority-based spreading factor (SF) allocation delay monitoring layered (DML) resource allocation scheme. The three primary categories of LoRaWAN application services—monitoring, control, and safety—are outlined in this paper. The suggested prioirty based resource allocation (PB-RA) scheme distributes SFs to end devices according to the highest priority parameter, taking into account the varying criticalities of these services. This increases throughput, lowers energy consumption, and increases packet delivery rate (PDR). The main advantage associated with using it is that priority is given to applications that require safety without introducing latency in other applications.