Technical Review of Performance Parameters of Long-Range IoT Protocols

The rapid proliferation of IoT devices has introduced significant challenges in optimizing power consumption and communication efficiency, particularly in energy-constrained environments. LoRa, a widely used Low Power Wide Area Network (LPWAN) technology, offers long-range communication with minimal energy usage. However, static configurations often result in suboptimal performance under dynamic network conditions. This paper focuses on analyzing and optimizing the LoRa wireless protocol to enhance energy efficiency without compromising network reliability. Key performance metrics such as latency, packet error rate (PER), scalability, and energy consumption are evaluated. By implementing Adaptive Data Rate (ADR) mechanisms and optimizing protocol parameters, this research aims to extend battery life while maintaining seamless connectivity. The findings contribute to the development of sustainable IoT networks, with applications in smart cities, industrial automation, and environmental monitoring. The proposed optimizations enable intelligent, energy-aware communication strategies, ensuring efficient and scalable IoT deployments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-10
DOI
https://doi.org/10.5281/zenodo.14998154
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Technical Review of Performance Parameters of Long-Range IoT Protocols

Zenodo (CERN European Organization for Nuclear Research)
IoT Networks and Protocols
article

Technical Review of Performance Parameters of Long-Range IoT Protocols

article en

Abstract

The rapid proliferation of IoT devices has introduced significant challenges in optimizing power consumption and communication efficiency, particularly in energy-constrained environments. LoRa, a widely used Low Power Wide Area Network (LPWAN) technology, offers long-range communication with minimal energy usage. However, static configurations often result in suboptimal performance under dynamic network conditions. This paper focuses on analyzing and optimizing the LoRa wireless protocol to enhance energy efficiency without compromising network reliability. Key performance metrics such as latency, packet error rate (PER), scalability, and energy consumption are evaluated. By implementing Adaptive Data Rate (ADR) mechanisms and optimizing protocol parameters, this research aims to extend battery life while maintaining seamless connectivity. The findings contribute to the development of sustainable IoT networks, with applications in smart cities, industrial automation, and environmental monitoring. The proposed optimizations enable intelligent, energy-aware communication strategies, ensuring efficient and scalable IoT deployments.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 55%
IoT Networks and Protocols
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