Throughput Improvement for LoRaWAN Networks Considering IoT Applications Priority
Authors:
- 20 March 2023
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 206-210
Abstract
The pure Aloha access scheme used in LoRaWAN increases the probability of collisions at a large scak, which will lead to a reduction in the packet delivery ratio (PDR) and the network throughput. As a result, Legacy LoRaWAN cannot guarantee quality of service (QoS). However, a heterogeneous LoRaWAN network consists of several Internet of Things (IoT) applications that differ in their QoS requirements and can be classified into different priority levels This paper proposes an algorithm, called “spreading factor with priority” (SF-P), that aims to maximize the LoRaWAN network throughput while distinguishing between nodes in terms of priority. Simulation results show that SF-P improves the network throughput compared to Legacy LoRaWAN and respects the priority between different IoT applications.Keywords
This publication has 15 references indexed in Scilit:
- Joint slice-based spreading factor and transmission power optimization in LoRa smart city networksInternet of Things, 2021
- Energy Constrained Optimization for Spreading Factor Allocation in LoRaWANSensors, 2020
- LoRa+: An extension of LoRaWAN protocol to reduce infrastructure costs by improving the Quality of ServiceInternet of Things, 2020
- Improving Quality-Of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource ManagementJournal of Sensor and Actuator Networks, 2020
- Adaptive dynamic network slicing in LoRa networksFuture Generation Computer Systems, 2019
- A Community-Based IoT Personalized Wireless Healthcare Solution TrialIEEE Journal of Translational Engineering in Health and Medicine, 2018
- Quality of Service (QoS) in Internet of Things2018
- EXPLoRa: Extending the performance of LoRa by suitable spreading factor allocations2017
- A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and ApplicationsIEEE Internet of Things Journal, 2017
- Modelling QoS in IoT Applications2014