Darshini Y

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

E-mail: darshinigowda09@gmail.com


Research Interests: Wireless Sensor Networks, Internet of Things, Machine Learning, Artificial Intelligence


Prof. Darshini Y G received her Bachelor of Engineering in Computer Science and Engineering from BGS Institute of Technology, BGS Nagara, Bellur Cross, affiliated to Visvesvaraya Technological University, Belgaum, Karnataka, and obtained her Master’s Degree in the area of Information Technology from The National Institute of Engineering, Mysore, autonomous under Visvesvaraya Technological University, Belgaum, Karnataka. Her research interests include Wireless Sensor Networks, Internet of Things, Artificial Intelligence and Machine Learning. At present she is working as Assistant Professor in the Department of Information science and Engineering at The National Institute of Engineering(North), 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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