Improved Analysis and Design of ADR Algorithm for Energy-Efficient LoRaWAN System

For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm considering a probabilistic packet collision is presented. In addition, we propose a new ADR truncated MIN algorithm that selectively exploits signal-to-interference noise ratio (SINR) values for the accurate SINR estimation. From computer simulations, the proposed ADR design was observed to have a SF configuration near the asymptotic estimate and to be more energy efficient compared to existing ADR algorithms.

Authors

Institutions

Publication Details

Journal
IEEE Communications Letters
Published
2025-03-12
DOI
https://doi.org/10.1109/lcomm.2025.3550512
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Analysis and Design of ADR Algorithm for Energy-Efficient LoRaWAN System

Chanki Kim, Jaeyoung Yoon, Jin-Woo Jeon
1 links
IEEE Communications Letters
IoT Networks and Protocols
article

Improved Analysis and Design of ADR Algorithm for Energy-Efficient LoRaWAN System

Chanki Kim, Jaeyoung Yoon, Jin-Woo Jeon
article en

Abstract

For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm considering a probabilistic packet collision is presented. In addition, we propose a new ADR truncated MIN algorithm that selectively exploits signal-to-interference noise ratio (SINR) values for the accurate SINR estimation. From computer simulations, the proposed ADR design was observed to have a SF configuration near the asymptotic estimate and to be more energy efficient compared to existing ADR algorithms.

IEEE Communications LettersVol. 29(5)
Jeonbuk National University (KR)
Affordable and clean energy
Openalex Percentile: Top 97%
IoT Networks and Protocols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.