Research Article
IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status
@ARTICLE{10.4108/eetsis.4839, author={Yawen Yi and Chuan Chen and Ziran Chen and Ganxin Jie and Yong Tu and Qijun Zhang}, title={IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={4}, publisher={EAI}, journal_a={SIS}, year={2024}, month={2}, keywords={IoT, relay selection, analytical data rate}, doi={10.4108/eetsis.4839} }
- Yawen Yi
Chuan Chen
Ziran Chen
Ganxin Jie
Yong Tu
Qijun Zhang
Year: 2024
IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status
SIS
EAI
DOI: 10.4108/eetsis.4839
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.
Copyright © 2024 Y. Yi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.