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Secure Transmission Lines Monitoring and Efficient Electricity Management in Ultra-Reliable Low Latency Industrial Internet of Things.

Authors :
Judge, Malik Ali
Manzoor, Awais
Khattak, Hasan Ali
Ud Din, Ikram
Almogren, Ahmad
Adnan, Muhammad
Source :
Computer Standards & Interfaces. Aug2021, Vol. 77, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• A hybrid model with a combination of existing wired, wireless, and cellular technologies to guarantee real-time monitoring at low cost. • Minimizing the time delay at minimum installation cost and to determine the total energy consumption associated with 5G technology. • Investigate the performance of both linear and direct link network architectures to support the future SG. • Find the optimal location for placement of cellular enabled transmission towers and show the relationship between time delay and total energy consumption by feasible regions. [Display omitted] Smart Grid (SG) faces several challenges to efficiently transfer the power generated to power consumers. So, a robust monitoring tool is required to monitor the transmission lines in order to ensure security of the resource. This power transmission monitoring is a good example of ultra reliable low latency application of 5G with the aim to provide quality of service and quality of experience. The primary objective of this study is to design a wireless network for real-time monitoring of transmission lines to take the preventive measures. In this paper, we present an Internet of Things enabled real-time transmission line monitoring system comprising of wireless, wired, and cellular technologies. The objective is to minimize the time delay at minimum installation cost of the network. In our proposed model, all the sensors are powered by Renewable Energy Resources (RES) like wind and solar energy, etc. The placement problem is formulated to determine the location of cellular enabled transmission towers. Moreover, feasible regions are also calculated to show the relationship between time delay and energy consumption. Results show that proposed model provides efficient solutions and takes less time for data transmission and is more energy efficient. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09205489
Volume :
77
Database :
Academic Search Index
Journal :
Computer Standards & Interfaces
Publication Type :
Academic Journal
Accession number :
150411307
Full Text :
https://doi.org/10.1016/j.csi.2020.103500