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October 10, 2025International Innovative Research Journal of Engineering and Technology

Energy-Efficient IoT Sensor Networks Using LoRaWAN and Edge Intelligence

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Authors

MSM. S.RRRohini Ravi

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Overview

Framework combines LoRaWAN and edge computing to improve energy efficiency in IoT networks, suggesting significant enhancements in smart city applications.

Key Points

  • Energy efficiency improved by 40% through the integration of LoRaWAN in IoT networks, leading to reduced electricity demand.
  • Smart data filtering processes and compresses sensor data on-site, minimizing unnecessary data transmission to the cloud.
  • Adaptive duty cycling allows nodes to modify their activity levels, significantly extending the network's operational life.
  • Simulation reviews show faster command execution and increased responsiveness compared to traditional centralized systems.

Cite This Study

S. et al. (2025) studied this question.

synapsesocial.com/papers/68e861b07ef2f04ca37e4abdhttps://doi.org/10.32595/iirjet.org/v10i4.2025.222
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Design and Implementation of Collaborative Energy Efficient IoT-Based LoRa WAN2024
  2. 2Intelligent monitoring of natural resources with IoT and LoRa communication: an integrated solution for sustainability and efficiency2025
  3. 3Integrating Edge Computing with Intelligent Networks for Enhanced IoT Communication Efficiency2025
  4. 4Investigating the Energy Cost for n Wireless Sensor Network using IoT by Implementing RMP Algorithm2025
  5. 5Towards Mass-Scale IoT with Energy-Autonomous LoRaWAN Sensor Nodes2024 · 23 citations