Aquila Optimized Fuzzy Deep Belief Network for Secure Data Transmission in WSN

Abstract

A wireless sensor network (WSN) is made up of several independent sensor nodes that are able to interpret, analyze, and work with data. It is generally recognized that security and limited energy are the two challenging tasks with WSNs. To address these challenges, a novel Aquila-optimized fuzzy deep belief network (AO-FDBN) model has been proposed in this paper. The suggested AO-FDBN framework consists of three stages. Initially, the Aggregator has been selected by using the Aquila optimization algorithm. Secondly, the data from the aggregator are encrypted by using the blowfish algorithm. Finally, the optimal route has been selected by using the fuzzy-deep belief network (DBN). Packet delivery ratio (PDR), transport delay, energy usage, and network lifetime are evaluated between the suggested framework and current methods. Experimental results specify that the suggested AO-FDBN approach achieves higher performance of 22.617%, 14.22%, and 15.64% than TEEFCA, HESC, and SEPC methods. This system is more effective and secure for real-time applications.

KEYWORDS:

• Aggregator
• Aquilla optimizer
• Fuzzy deep belief network
• Security
• Wireless sensor network

Acknowledgements

The author would like to express his heartfelt gratitude to the supervisor for his guidance and unwavering support during this research for his guidance and support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

A. Jenice Prabhu

A Jenice Prabhu was born in Nagercoil, Kanyakumari District, Tamilnadu, India. He received his bachelor degree of engineering in computer science and engineering from C.S.I Institute of Technology, and his master of engineering in computer science and engineering in St. Xavier Catholic College of Engineering, Nagercoil, India in 2006 and 2012, respectively. He is doing PhD in information and communication engineering from Anna University, Chennai, India. He has eight years of teaching experience in engineering colleges. His research interests include networking and communication, cloud computing, wireless sensor networks, adhoc networks, and data analytics. Corresponding author. Email: [email protected]

A. Ahilan

A Ahilan received PhD from Anna University, India, and working as an associate professor in the department of electronics and communication engineering at PSN College of Engineering and Technology, India. His area of interest includes FPGA prototyping, computer vision, the internet of things, cloud computing in medical, biometrics, and automation applications. He served as guest editor in several journals of Elsevier, Benthom, and IGI publishers. Also, he had contributed to original research articles in IEEE transactions, SCI, SCIE, and Scopus-indexed peer-review journals. He has presented in various international conference events like ASQED (Malaysia) and ESREF (France). He is currently a reviewer in IEEE industrial informatics, IEEE access, measurement, multimedia tools & applications, computer networks, medical systems, computer & electrical engineering, neural computing and applications, cluster computing, IET image processing, and so on. He has IEEE and ISTE memberships. He has worked as a research consultant at TCS, Bangalore, where he has guided many computer vision projects and Bluetooth low energy projects. He has hhands-on programming knowledge in MATLAB, Verilog, and Python at various technical institutions around India. Email: [email protected]

Alwarsamy Vijayaraj

A. Vijayaraj is an associate professor in the Department of Information Technology, R.M.K Engineering College, RSM Nagar, Kavaraipettai, Gummidipoondi Taluk, Chennai. He obtained his bachelor’s degree from Bharathidasan University in 1997 and master of engineering in CSE from Sathyabama University in 2005. He obtained his PhD from Anna University, Chennai, India. His area of specialization is computer networks and communications, mobile computing, information retrieval, and knowledge management. He has 24 years of teaching experience from various engineering colleges during his tenure he was awarded the best teacher award thrice. He is a member of CSI, ISTE, IAENG, ICST, UACEE, IASTER, and CSTA. He organized a number of workshops, faculty development programs, seminars, national, and international conferences. He has published 35 papers in (SCI and Scopus) reputed journals and 20 papers in international IEEE and Springer conferences and also published 5 textbooks and 10 patents. Email: [email protected]

P. Gururama Senthilvel

P Gururama Senthilvel, MCA, ME, PhD, he received his MCA degree from Madurai Kamaraj University in 1996, Madurai, and ME degree in computer science and engineering from Anna University in 2007, Chennai. Also completed his PhD degree from Manonmaniam Sundaranar University in 2021, Tirunelveli. He has more than 20 years of teaching experience and three years of industrial experience. Currently, working as professor, Department of Computing Science and Engineering at Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai. His research interests include data science, artificial intelligence, machine learning, cloud computing, and network security. Publication: more than 10 papers and 2 books. Email: [email protected]