Big data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid industry 4.0

Faheem, Muhammad and Fizza, Ghulam and Ashraf, Muhammad Waqar and Butt, Rizwan Aslam and Ngadi, Md. Asri and Gungor, Vehbi Cagri (2021) Big data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid industry 4.0. Data in Brief, 35 . pp. 1-12. ISSN 2352-3409

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Official URL: http://dx.doi.org/10.1016/j.dib.2021.106854

Abstract

Smart Grid Industry 4.0 (SGI4.0) defines a new paradigm to provide high-quality electricity at a low cost by reacting quickly and effectively to changing energy demands in the highly volatile global markets. However, in SGI4.0, the reliable and efficient gathering and transmission of the observed information from the Internet of Things (IoT)-enabled Cyber-physical systems, such as sensors located in remote places to the control center is the biggest challenge for the Industrial Multichannel Wireless Sensors Networks (IMWSNs). This is due to the harsh nature of the smart grid environment that causes high noise, signal fading, multipath effects, heat, and electromagnetic interference, which reduces the transmission quality and trigger errors in the IMWSNs. Thus, an efficient monitoring and real-time control of unexpected changes in the power generation and distribution processes is essential to guarantee the quality of service (QoS) requirements in the smart grid. In this context, this paper describes the dataset contains measurements acquired by the IMWSNs during events monitoring and control in the smart grid. This work provides an updated detail comparison of our proposed work, including channel detection, channel assignment, and packets forwarding algorithms, collectively called CARP [1] with existing G-RPL [2] and EQSHC [3] schemes in the smart grid. The experimental outcomes show that the dataset and is useful for the design, development, testing, and validation of algorithms for real-time events monitoring and control applications in the smart grid.

Item Type:Article
Uncontrolled Keywords:multichannel wireless sensor network, smart grid, wireless sensor networks
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:95858
Deposited By: Yanti Mohd Shah
Deposited On:22 Jun 2022 09:56
Last Modified:22 Jun 2022 09:56

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