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RCD-IoT: Enabling Industrial Monitoring and Control with Resource-Constrained Devices UnderHigh Packet Transmission Rates

Ayesha Abid, Muhammad Jazib, Muhammad Riaz

TL;DR

The paper tackles the challenge of real-time industrial monitoring with resource-constrained IoT devices by proposing a high-rate, energy-efficient RCD-IoT test bed implemented with MQTT in a Publisher/Subscriber framework. It integrates a four-layer workflow (sensor, data communication, network analysis, channel modeling) and leverages Node-RED for processing and visualization, achieving an average $RTT$ of $12$ ms at $1500$ packets/5 s. Key contributions include a custom MQTT-based solution, real-time control capabilities, and a comprehensive performance evaluation across AWGN, Rayleigh, and Rician fading scenarios, supported by a practical GUI (HINET Live Panel). The work demonstrates feasibility and scalability of high-throughput, low-latency industrial monitoring on resource-constrained devices, with implications for predictive maintenance and digital twin concepts in IIoT deployments.

Abstract

This paper highlights the significance of resource-constrained Internet of Things (RCD-IoT) systems in addressing the challenges faced by industries with limited resources. This paper presents an energy-efficient solution for industries to monitor and control their utilities remotely. Integrating intelligent sensors and IoT technologies, the proposed RCD-IoT system aims to revolutionize industrial monitoring and control processes, enabling efficient utilization of resources.The proposed system utilized the IEEE 802.15.4 WiFi Protocol for seamless data exchange between Sensor Nodes. This seamless exchange of information was analyzed through Packet Tracer. The system was equipped with a prototyped, depicting analytical chemical process to analyze the significant performance metrics. System achieved average Round trip time (RTT) of just 12ms outperforming the already existing solutions presented even with higher Quality of Service (QoS) under the transmission of 1500 packets/seconds under different line of sight (LOS) and Non line of sight (NLOS) fadings.

RCD-IoT: Enabling Industrial Monitoring and Control with Resource-Constrained Devices UnderHigh Packet Transmission Rates

TL;DR

The paper tackles the challenge of real-time industrial monitoring with resource-constrained IoT devices by proposing a high-rate, energy-efficient RCD-IoT test bed implemented with MQTT in a Publisher/Subscriber framework. It integrates a four-layer workflow (sensor, data communication, network analysis, channel modeling) and leverages Node-RED for processing and visualization, achieving an average of ms at packets/5 s. Key contributions include a custom MQTT-based solution, real-time control capabilities, and a comprehensive performance evaluation across AWGN, Rayleigh, and Rician fading scenarios, supported by a practical GUI (HINET Live Panel). The work demonstrates feasibility and scalability of high-throughput, low-latency industrial monitoring on resource-constrained devices, with implications for predictive maintenance and digital twin concepts in IIoT deployments.

Abstract

This paper highlights the significance of resource-constrained Internet of Things (RCD-IoT) systems in addressing the challenges faced by industries with limited resources. This paper presents an energy-efficient solution for industries to monitor and control their utilities remotely. Integrating intelligent sensors and IoT technologies, the proposed RCD-IoT system aims to revolutionize industrial monitoring and control processes, enabling efficient utilization of resources.The proposed system utilized the IEEE 802.15.4 WiFi Protocol for seamless data exchange between Sensor Nodes. This seamless exchange of information was analyzed through Packet Tracer. The system was equipped with a prototyped, depicting analytical chemical process to analyze the significant performance metrics. System achieved average Round trip time (RTT) of just 12ms outperforming the already existing solutions presented even with higher Quality of Service (QoS) under the transmission of 1500 packets/seconds under different line of sight (LOS) and Non line of sight (NLOS) fadings.
Paper Structure (13 sections, 20 equations, 7 figures, 4 tables, 1 algorithm)

This paper contains 13 sections, 20 equations, 7 figures, 4 tables, 1 algorithm.

Table of Contents

  1. Introduction
  2. IoT Protocols
  3. Working Methodology
  4. Sensor Layer
  5. Data Communication layer
  6. Network Analysis
  7. Communication Channel
  8. Key Performance Metrics
  9. Round Trip Time
  10. System Software
  11. Adapter for Loop back Traffic
  12. Graphical User Interface
  13. Results

Figures (7)

  • Figure 1: Workflow Diagram of the Proposed Test Bed
  • Figure 2: MQTT Publisher-Subscriber Model Workflow
  • Figure 3: MQTT Communication Flow with ESP32
  • Figure 4: RTT Measurements Over Time
  • Figure 5: Packet Transmission Rate Over 5-Second Intervals
  • ...and 2 more figures