Sudeep J

Work place: Department of Information Science & engineering, The National Institute of Engineering, Mysuru, 570018, India

E-mail: sudeep@nieit.ac.in

Website:

Research Interests: Blockchain technology, Internet of Things

Biography

Prof. Sudeep J received his Bachelor of Engineering in Information Science and Engineering from Coorg Institute of Technology, Ponnampet, affiliated to Visvesvaraya Technological University, Belgaum, Karnataka, and obtained his Master’s Degree in the area of Software Engineering from Sri Jayachamarajendra College of Engineering, Mysore, autonomous under Visvesvaraya Technological University, Belgaum, Karnataka. His research interests include Internet of Things, Cyber Security and Blockchain technologies. He has published research papers in various international conferences and journals. At present he is working as Assistant Professor in the Department of Information science and Engineering at NIE Institute of Technology, Mysuru, Karnataka, India.

Author Articles
A Novel Approach by Integrating Dynamic Network Selection and Security Measures to improve Seamless Connectivity in Ubiquitous Networks

By Prasanna Kumar G. Shankaraiah N. Rajashekar M B Sudeep J Shruthi B S Darshini Y Manasa K B

DOI: https://doi.org/10.5815/ijwmt.2024.01.03, Pub. Date: 8 Feb. 2024

Researchers have developed an innovative approach to ensure seamless connectivity in ubiquitous networks with limited or irregular network coverage. The proposed method leverages advanced network technologies and protocols to seamlessly establish and maintain network connections across various environments. It integrates multiple wireless communication technologies and dynamic network selection algorithms, overcoming issues like poor reliability, limited scalability, and security problems. Compared to existing solutions, the method exhibits improved connection handover efficiency, network throughput, and end-to-end delay. Considering user mobility, network availability, and quality of service needs, it makes informed decisions about the most suitable network connections. The proposed method is expected to significantly impact the development of future ubiquitous networking solutions.

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