Department of Electrical Engineering, Dayalbagh Educational Institute, Agra, India
Email: ripunjaysingh2104114@dei.ac.in (R.S.); samarthjain2104343@dei.ac.in (S.J.); subhome2k10@gmail.com (S.U.)
*Corresponding author
Manuscript received March 3, 2025; accepted April 24, 2025; published June 25, 2025
内容：
Abstract—The Internet of Things (IoT) has transformed the way devices interact, enabling applications in domains such as smart cities, industrial automation, agriculture, and healthcare. Long Range Wide Area Network (LoRaWAN) has emerged as a leading Low Power Wide Area Network (LPWAN) protocol, offering long-range communication capabilities, energy efficiency, and support for large-scale IoT deployments. This review article provides a comprehensive analysis of the LoRaWAN protocol, detailing its architecture, technical features, and its role in addressing IoT connectivity challenges. Despite its advantages, LoRaWAN faces significant challenges, including scalability issues, interference in unlicensed frequency bands, energy constraints, and security vulnerabilities. Recent innovations such as adaptive channel management, dynamic power optimization, blockchain-based security enhancements, and advanced scheduling algorithms are explored as solutions to these challenges. The paper also highlights key future research directions, including the integration of artificial intelligence for intelligent resource management, hybrid network approaches for enhanced reliability, and advancements in energy-efficient communication mechanisms. By addressing these areas, LoRaWAN can continue to evolve as a cornerstone technology for future IoT ecosystems.
Keywords—Long Range Wide Area Network (LoRaWAN), long range, Internet of Things (IoT), protocols
[PDF]
Cite: Ripunjay Singh, Samarth Jain, and Subho Upadhyay, "LoRaWAN Protocols in IoT: Challenges, Innovations, and Future Directions," Journal of Advances in Computer Networks, vol. 13, no. 1, pp. 15-19, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
