A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications

Abstract

Wireless sensor networks, which play a significant role in monitoring complex environments that change rapidly over time, were used in the Artificial Intelligence method. External factors or the device designers themselves are both responsible for this complex behavior. Sensor networks often use machine learning techniques to adapt to such conditions, eliminating the need for excessive redesign. Cyber-physical systems (CPS) appeared as the promising option for improving physical-virtual interactions. The quality of the system containing processing information is primarily determined by the system function. There are many benefits obtained while combining Artificial Intelligence (AI) and Cyber-Physical Systems (CPSs) in buildings. In CPS-based indoor environment has various design schemes containing measurement and intelligent buildings in the control system consisting of detection, tracking, execution, and communication modules. The Multi-Agent System (MAS) is the smallest control unit that simulates among neurons and it flexibly provides the information. To mimic the interactions between human neurons, multi-agents are used. In this paper, the CPS’s information world is built on the fundamental principle of granular formal concepts and the theory of granular computing is investigated. The calculation module is used by Back-Propagation Neural Network (BPNN) for pattern recognition and classification by environmental information. Various parameters namely the normalized root mean square error, peak signal-to-noise ratio, mean square error, and the mean absolute error are chosen as the objective assessment criteria to assess the benefits of the proposed method and the effectiveness of the proposed system is proven.

KEYWORDS:

• Artificial intelligence
• BPNN
• Cyber-physical systems
• Wireless sensor network

Additional information

Notes on contributors

N. Senthil Madasamy

N Senthil Madasamy received Bachelor of Engineering in computer science and engineering from Manonmaniam Sundaranar University in Government College of Engineering, Tirunelveli in 1998 and Master of Engineering in computer science and engineering from Anna University, Chennai in National Engineering College, Kovilpatti in 2007. Was awarded PhD from Anna University, Chennai in Jan 2018 under the Research Center of Mepco Schlenk Engineering College, Sivakasi. He is working a Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India. His research interests include networking, cyber security, machine learning, artificial intelligence and parallel computing.

K. J. Eldho

K J Eldho is a Doctorate holder in computer science from Bharathiyar University, Coimbatore. He focusses his research on software quality measurement techniques and got awarded his doctoral degree in software engineering. He obtained his master's degrees (MSc Computer Science) and MPhil from Bharathiyar University, Coimbatore. He has a decade’s teaching experience and is currently working as an assistant professor in the PG Department of Computer Science of Mary Matha Govt Aided Arts and Science College, Mananthavady (Affiliated to Kannur University). He is the Editor of the journal “Don Bosco Journal of Science and Humanities ” and “Don Bosco Journal of Computer Applications.” He has published ten research papers. He got exposure to international academic systems and during visit to the Assumption University, Bangkok, Thailand, in 2019, where, he presented a research paper on “The Role of IT in Higher Education”. He is the regional secretary of the International Research organization titled AIRIO (Association of International Resercher’s of Indian Origin),which is based in New York, US. Recently, he got an Indian patent on his invention named “Sensor Based Intelligent Brain Computer Interface System for Assisting Hand Paralyzed Patients to Perform Typing by Brain.” He was the former head of the Department and assistant professor of Don Bosco College, SulthanBathery and head of the Department of St Joseph's College (Autonomous), Devagiri. He was also the member of the Exam Board for Computer Science (UG & PG) of Calicut University. Currently, he is the External BoS member of Christ College (Autonomous), Irinjalakuda. Email: [email protected]

T. Senthilnathan

T Senthilnathan is currently working in the Department of Computer Science at Christ (Deemed to be University), Bengaluru, Karnataka, India. He completed his PhD in computer science and engineering in the area of distributed systems at Anna University, Chennai. He has more than 20 years of teaching and research experience. He has guided number of research-oriented as well as application-oriented projects which include IoT, cloud computing and AI. His research interest includes internet of things, security in distributed system and applications of deep learning in healthcare analytics. Email: [email protected]

J. Deny

J Deny received the BE degree in electronics and communication engineering from Anna University, in 2010, the MTech. degree in digital communication and networks from the Kalasalingam Academy of Research and Education, in 2012, and the PhD degree in image processing and network security from the Bharath Institute of Higher Education and Research, in 2017. He is currently an IEDC coordinator/associate professor with the Department of ECE, Kalasalingam Academy of Research and Education. He has published over 50 research papers in various international conferences/international journals indexed in Scopus, SCI, and Web of Science. His research interests include image processing, network security, and innovation techniques in entrepreneurship. Email: [email protected]