Enhanced Smart Industry Wireless Sensor Networks for Smart Factory

Status, Challenges and Perspectives

Authors

DOI:

https://doi.org/10.24086/cuesj.v8n1y2024.pp80-84

Keywords:

Smart factory, wireless sensor network, energy management, digital twin model, decision-making

Abstract

Industrial Wireless Sensor Networks are increased in recent years due to provide real-time monitoring, decision-making and controlling. Industrial Wireless Sensor Networks used in many factories such as: food production, aircraft factory and pharmaceutical factory. The aim of this research is to focus on the Industrial Wireless Sensor Networks in smart factory and the challenges that need to be considered in use such as: its location, energy consumptions and security. The research discuss different issues are highlighted the importance of using real-time decision-making to improve the performance of the process and provide service monitoring for industrial process improvement.

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Author Biographies

Reem J. Ismail, Department of Computer Science, Cihan University-Erbil, Erbil, Kurdistan Region, Iraq

Reem Jafar Ismail received the Science degree, M.Sc. and Ph.D. degree in computer science from "University of Technology" (UOT), Baghdad, Iraq. She is IEEE member since 2022. Currently she is assistant professor at the Department of Computer Science at Cihan University- Erbil. Her research interests include computer networks especially wireless ad hoc networks, wireless sensor networks and using visual programming to development many scientific applications especially in education. 

Wassan A. Hashim, Medical Devices Engineering Department, Al-Qalam University College, Kirkuk, Iraq

Wassan Adnan Hashim has a Ph.D. in Automatic Control and Automation from the Aleppo University- Republic of Syria in 2012 sharing with American University of Beirut, spatialize in Smart Power (Artificial Algorithm).  Currently, she is associate professor and head department of Medical Devices Engineering, Al Qalam university college, Kirkuk-Iraq. Also, as a part time in Erbil International University –Erbil. She has over 30 publications in national and international venues and journals. She is a coach & leader manager of education program and examiner, supervisor of education program, trainer of TOT in Spark Organization.

Israa T. Ali, Department of Computer Science, University of Technology, Baghdad, Iraq

Israa Tahseen Ali is an ssistant professor at Department of Computer Science, University of Technology, Baghdad, Iraq. Her research interests include network communication and programming especially wireless ad hoc networks, data mining, and using web programming to develop many scientific fields.

 

Sara J. Hussein, Department of Computer Science, Cihan University-Erbil, Erbil, Kurdistan Region, Iraq

Sara J. Hussein serves as an assistant lecturer at the Department of Computer Science at Cihan University- Erbil. Her research interests include software engineering, intelligent systems and digital twin.

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Published

2024-06-30

How to Cite

1.
Ismail RJ, Hashim WA, Ali IT, Hussein SJ. Enhanced Smart Industry Wireless Sensor Networks for Smart Factory: Status, Challenges and Perspectives. Cihan U Erbil SCI J [Internet]. 2024 Jun. 30 [cited 2026 Jun. 23];8(1):80-4. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/1195

Issue

Section

Research Article
Received 2024-06-01
Accepted 2024-06-24
Published 2024-06-30

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