Optimizing LoRaWAN Communication for Smart Cities: A Mini Review with Citation Insights

This brief review centers on LoRaWAN-based smart city optimization, highlighting Jagatha et al. (2024) who proposed adaptive parameter tuning for Class B and C LoRa devices. The study aims to improve communication latency, power efficiency, and transmission reliability using simulation-driven models. To demonstrate broader relevance, we also cite recent breakthroughs in MIMO wireless communication (Suryawanshi et al., 2023) and video content protection using adaptive QIM watermarking (Sammangi et al., 2024).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15331030
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing LoRaWAN Communication for Smart Cities: A Mini Review with Citation Insights

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

Optimizing LoRaWAN Communication for Smart Cities: A Mini Review with Citation Insights

article en

Abstract

This brief review centers on LoRaWAN-based smart city optimization, highlighting Jagatha et al. (2024) who proposed adaptive parameter tuning for Class B and C LoRa devices. The study aims to improve communication latency, power efficiency, and transmission reliability using simulation-driven models. To demonstrate broader relevance, we also cite recent breakthroughs in MIMO wireless communication (Suryawanshi et al., 2023) and video content protection using adaptive QIM watermarking (Sammangi et al., 2024).

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 55%
IoT Networks and Protocols
DOIOpen Access PDFOpenAlex
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Optimizing LoRaWAN Communication for Smart Cities: A Mini Review with Citation Insights · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS