Evaluating LPWAN Technologies: Performance of LoRaWAN and 802.11ah for Smart City

Smart city applications require efficient, reliable, and cost-effective communication networks due to the rapid advancement of IoT technology. This study compares the real-world performance of LoRaWAN and 802.11ah for IoT-based environmental monitoring in smart cities. Through practical experiments, key performance metrics such as Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), and data throughput were measured while connecting various sensors to the end devices, taking into account factors like distance, Line of Sight (LoS), and Fresnel zone obstructions. The results were analyzed using machine learning library-based statistical analysis and regression analysis to uncover deeper relationships and insights. This comprehensive analysis led to the conclusion that 802.11ah outperforms in terms of signal strength and data throughput over short distances, while LoRa Wanexcels in long-range communication but exhibits performance variability in obstructed environments. To achieve coverage equivalent to LoRaWAN, 802.11ah would require 157.83 times more access points, thereby increasing costs. These insights provide guidelines for deploying LPWAN technologies in smart city applications, balancing performance, range, and cost-effectiveness. Further-more, this paper discusses the implementation of the network-based IoT system on the web, enabling monitoring within a smart city environment.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/irc63610.2024.00048
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

Evaluating LPWAN Technologies: Performance of LoRaWAN and 802.11ah for Smart City

Mi-Young Kang, Hyeji Jang, H. L. Ju, Sujeong Yim et al.
IoT Networks and Protocols
article

Evaluating LPWAN Technologies: Performance of LoRaWAN and 802.11ah for Smart City

Mi-Young Kang, Hyeji Jang, H. L. Ju, Sujeong Yim, Xavier Lopez, J. Eum, Anthony Smith
article en

Abstract

Smart city applications require efficient, reliable, and cost-effective communication networks due to the rapid advancement of IoT technology. This study compares the real-world performance of LoRaWAN and 802.11ah for IoT-based environmental monitoring in smart cities. Through practical experiments, key performance metrics such as Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), and data throughput were measured while connecting various sensors to the end devices, taking into account factors like distance, Line of Sight (LoS), and Fresnel zone obstructions. The results were analyzed using machine learning library-based statistical analysis and regression analysis to uncover deeper relationships and insights. This comprehensive analysis led to the conclusion that 802.11ah outperforms in terms of signal strength and data throughput over short distances, while LoRa Wanexcels in long-range communication but exhibits performance variability in obstructed environments. To achieve coverage equivalent to LoRaWAN, 802.11ah would require 157.83 times more access points, thereby increasing costs. These insights provide guidelines for deploying LPWAN technologies in smart city applications, balancing performance, range, and cost-effectiveness. Further-more, this paper discusses the implementation of the network-based IoT system on the web, enabling monitoring within a smart city environment.

Sangmyung University (KR), Yonsei University (KR), Purdue University West Lafayette (US), Kyonggi University (KR), Sookmyung Women's University (KR)
Sustainable cities and communities
Openalex Percentile: Top 77%
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.

Evaluating LPWAN Technologies: Performance of LoRaWAN and 802.11ah for Smart City — Mi-Young Kang, Hyeji Jang, et al. · (2024) | TGRS Research Map | TGRS