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Low Power Wide Area Network (LPWAN) technologies play a crucial role in enabling scalable Internet of Things (IoT) applications, especially where long-range connectivity, minimal energy usage, and cost efficiency are essential. LoRaWAN (Long Range Wide Area Network) has emerged as a prominent solution for connecting large numbers of low-power devices across wide areas. This paper provides an energy-focused performance analysis and optimization of LoRaWAN in the context of IoT, edge computing, and smart sensor systems. The study examines the impact of key physical layer parameters—Spreading Factor (SF), Coding Rate (CR), and Bandwidth (BW)—on both energy efficiency and network performance. Based on Semtech SX1276/77/78/79 chipset characteristics with a 3.3 V supply, the energy consumption of end devices is quantified across Transmit, Receive, ON, Idle, and Sleep modes. Data rates per device are calculated, and optimal throughput configurations are determined via convex optimization using the CVX toolbox. The results reveal critical trade-offs among data rate, coverage, and energy use, providing actionable guidelines for designing energy-efficient IoT and edge computing deployments that utilize LoRaWAN.

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Energy-Aware Optimization and Performance Analysis of LoRaWAN for IoT, Edge Computing, and Smart Sensor Systems

  • 会议论文

  • 发表日期：

    2026年

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  • L. Rajesh,
  • V. Suchitra,
  • Amer Ibrahim,
  • K. Martin Sayagam,
  • Ahmed Hammad,
  • Ahmed A. Elngar,
  • Abdul Samad Bin Shibghatullah,
  • Sameh Ghwanmeh,
  • Ali Imad Naji,
  • Reyad Omran Essa

摘要

Low Power Wide Area Network (LPWAN) technologies play a crucial role in enabling scalable Internet of Things (IoT) applications, especially where long-range connectivity, minimal energy usage, and cost efficiency are essential. LoRaWAN (Long Range Wide Area Network) has emerged as a prominent solution for connecting large numbers of low-power devices across wide areas. This paper provides an energy-focused performance analysis and optimization of LoRaWAN in the context of IoT, edge computing, and smart sensor systems. The study examines the impact of key physical layer parameters—Spreading Factor (SF), Coding Rate (CR), and Bandwidth (BW)—on both energy efficiency and network performance. Based on Semtech SX1276/77/78/79 chipset characteristics with a 3.3 V supply, the energy consumption of end devices is quantified across Transmit, Receive, ON, Idle, and Sleep modes. Data rates per device are calculated, and optimal throughput configurations are determined via convex optimization using the CVX toolbox. The results reveal critical trade-offs among data rate, coverage, and energy use, providing actionable guidelines for designing energy-efficient IoT and edge computing deployments that utilize LoRaWAN.