IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status

Authors

  • Yawen Yi Yangtze Power Corportation
  • Chuan Chen State Key Laboratory of Environmental Adaptability for Industrial Products image/svg+xml
  • Ziran Chen State Key Laboratory of Environmental Adaptability for Industrial Products image/svg+xml
  • Ganxin Jie State Key Laboratory of Environmental Adaptability for Industrial Products image/svg+xml
  • Yong Tu Yangtze Power Corportation
  • Qijun Zhang Yangtze Power Corportation

DOI:

https://doi.org/10.4108/eetsis.4839

Keywords:

IoT, relay selection, analytical data rate

Abstract

This paper presents a novel approach to monitoring the status of electrical equipment using Internet of Things (IoT) and relaying-aided transmission technologies, where data rate is used as a key metric for evaluating system monitoring performance. In this framework, relaying plays a pivotal role, enhancing the robustness and efficiency of data transmission in the monitoring process. We employ the optimal relay selection algorithms to identify and employ the most effective relay to assist in the transmission, thereby optimizing the communication link between the electrical equipment and the monitoring system. To provide a comprehensive understanding of the system's capabilities, we delve into the analytical aspects by deriving expressions for the data rate. These expressions offer insights into the theoretical performance limits and the factors influencing the efficiency of the system. The theoretical framework is further complemented by a series of simulations. These simulations validate the analytical models developed in the study, and provide practical scenarios to demonstrate the real-world applicability and effectiveness of the proposed IoT and relaying-aided transmission technologies in monitoring electrical equipment.

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Published

23-02-2024

How to Cite

1.
Yi Y, Chen C, Chen Z, Jie G, Tu Y, Zhang Q. IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status. EAI Endorsed Scal Inf Syst [Internet]. 2024 Feb. 23 [cited 2024 Jul. 22];11(4). Available from: https://publications.eai.eu/index.php/sis/article/view/4839