A Comprehensive Strategy for Implementing Adaptive Data Rate (ADR) in LoRaWAN Technology: Optimizing IoT Networks
Vítor Fialho
Vitor Fialho, DEETC, Instituto Superior de Engenharia de Lisboa and Centre of Technology and Systems, Lisbon, Portugal.
Manuscript received on 10 November 2024 | Revised Manuscript received on 14 November 2024 | Manuscript Accepted on 15 November 2024 | Manuscript published on 30 November 2024 | PP: 25-30 | Volume-13 Issue-12, November 2024 | Retrieval Number: 100.1/ijitee.L1000514011224 | DOI: 10.35940/ijitee.L1005.13121124
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Internet of Things (IoT) is increasingly essential for creating smart environments by establishing long-range connectivity among devices. LoRaWAN is a prominent technology choice for these applications due to its energy efficiency and extensive coverage. Central to LoRaWAN’s functionality is the Adaptive Data Rate (ADR) mechanism, which optimizes network performance by adjusting each device’s data rate and transmission power dynamically. This study delves into ADR’s operational principles, benefits, and implementation challenges in LoRaWAN networks. The proposed simulation model, featuring configurable parameters like the spreading distribution factor (SF), the adjustable number of devices, and the SNR threshold, denotes enhanced network performance after implementing the ADR algorithm. With an SNR threshold of -15 dB, ADR reduced the average transmission power of 200 devices from 7 dBm to -3 dBm after twenty iterations, underscoring ADR’s role in minimizing energy consumption while improving network efficiency.
Keywords: LoRaWAN, Adaptive Data Rate, IoT, Network Optimization, Efficiency, Performance.
Scope of the Article: Internet of Things (IoT)