An Optimized Transmission Strategy in LoRaWAN-Based IOT Networks Based on Traffic Conditions

Abstract

Introduction: Intelligent, networked nodes make up the Internet of Things (IoT), which is a dynamic, worldwide infrastructure. Through the autonomous interaction of linked smart objects, IoT provides users with seamless service delivery. The LoRaWAN protocol was developed to provide very low-power signal demodulation, facilitating long-distance, low-data-rate communication among the devices of the Low-power Wide Area Network (LPWAN).

Objectives: This work focuses on enhancing transmission efficiency in the LoRaWAN-IoT network by dynamically regulating traffic under different conditions while reducing power consumption.

Methods: In this paper, we propose a Traffic Aware Data Scheduling Policy (TADSP) for Optimizing Transmission in LoRaWAN-IoT network.  Based on various traffic types, traffic priorities are assigned.  The gateway nodes apply a data scheduling policy that determines when a certain packet should be forwarded to the network server or discarded. Based on this policy, the gateway node schedules the received data from the end devices and performs time slot scheduling.

Results:The proposed methodology is implemented in LoRaWAN simulator. The simulation results show that the proposed TADSP reduces the energy consumption and packet drop rate and increases the uplink delivery rate.

Conclusions: The proposed policy provides an optimum transmission strategy for LoRaWAN-IoT networks.