IoT Networks and Protocols

Últimos artículos

• A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWAN

  Robert Bitterling, Christian Nettersheim, J\"orn Hees, Michael Rademacher · 12 de agosto de 2026

  Low Power Wide Area Networks like LoRa are increasingly deployed for smart city applications, requiring accurate path loss prediction for effective network planning. Traditional (empirical) propagation models often exhibit limited accuracy in these scenarios. We investigate machine learning models f…

• Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins

  Nahshon Mokua Obiri, Kristof Van Laerhoven · 5 de mayo de 2026

  Indoor long range wide area network (LoRaWAN) propagation is shaped by structural and time-varying environmental factors, which limit single-slope log-distance models and the standard log-normal shadowing assumption. We propose an environment-conditioned path loss framework that augments a log-dista…

• Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization

  Abdullahi Isa Ahmed, Ana Maria Dr\u{a}gulinescu, El Mehdi Amhoud · 24 de marzo de 2026

  The evolution of Internet of Things (IoT) into multi-layered environments has positioned Low-Power Wide Area Networks (LPWANs), particularly Long Range (LoRa), as the backbone for connectivity across both surface and subterranean landscapes. However, existing LoRa-based network designs often treat g…

• Energy-Efficient UAV-assisted LoRa Gateways: A Multi-Agent Optimization Approach

  Abdullahi Isa Ahmed, Jamal Bentahar, El Mehdi Amhoud · 13 de enero de 2026

  As next-generation Internet of Things (NG-IoT) networks continue to grow, the number of connected devices is rapidly increasing, along with their energy demands, creating challenges for resource management and sustainability. Energy-efficient communication, particularly for power-limited IoT devices…

• CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC

  Eman Alqudah, Ashfaq Khokhar · 17 de noviembre de 2025

  Ensuring packet-level communication quality is vital for ultra-reliable, low-latency communications (URLLC) in large-scale industrial wireless networks. We enhance the Local Deadline Partition (LDP) algorithm by introducing a CNN-based dynamic priority prediction mechanism for improved interference …

• LoRaCompass: Robust Reinforcement Learning to Efficiently Search for a LoRa Tag

  Tianlang He, Zhongming Lin, Tianrui Jiang, S. -H. Gary Chan · 17 de noviembre de 2025

  The Long-Range (LoRa) protocol, known for its extensive range and low power, has increasingly been adopted in tags worn by mentally incapacitated persons (MIPs) and others at risk of going missing. We study the sequential decision-making process for a mobile sensor to locate a periodically broadcast…

• Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering

  Nahshon Mokua Obiri, Kristof Van Laerhoven · 11 de noviembre de 2025

  Achieving sub-10 m indoor ranging with LoRaWAN is difficult because multipath, human blockage, and micro-climate dynamics induce non-stationary attenuation in received signal strength indicator (RSSI) measurements. We present a lightweight, interpretable pipeline that couples an environment-aware mu…