Maximization of Wireless Sensing Network’s Throughput Communicating with Long Range (LoRa) Modulation

This paper describes a new method for maximizing the wireless sensing network’s throughput communicating with Long Range (LoRa) modulation at a 2.4 GHz frequency. We propose a wireless sensing Network topology that depends on the spreading factor (SF) in the case of dense traffic between a LoRa master board and several LoRa sensor nodes. The receiver uses the channel activity detection (listening) mode to find a suitable SF during the preamble period by switching its SF. Our dynamic SF adjustment algorithm aims to maximize and optimize the throughput of sensor data without needlessly exchanging packets between the LoRa master board and the LoRa sensor nodes. Different ranges of performance with our proposed algorithm are studied, for several scenarios depending on the spreading factors parameter.