Dr. Renuka Mohanraj
Computer Science Security in Wireless Sensor Networks Energy Efficient Wireless Sensor Networks Advanced Authentication Protocols Security Computer Networks and Communications

Bio

Dr. Renuka Mohanraj is an accomplished academic and researcher in the field of Computer Science, currently affiliated with Maharishi International University in Fairfield, Iowa, United States. With a Ph.D., M.Phil., and B.Sc. in Computer Science, as well as a Master of Computer Application, she brings a wealth of knowledge and expertise to her work. Dr. Mohanraj has published 11 international papers and 7 national papers, with a notable focus on network security and routing protocols for IoT-enabled wireless sensor networks. Her research interests include computer science, network security, and optimization algorithms. She has served as a Fellow and Journal Editor, contributing significantly to the academic community. Her work, such as 'Optimized Load Centroid and Rabin Onion Secured Routing in Wireless Sensor Network for IoT' and 'Mid Square Hash Bezier Secured Routing for IoT Enabled Wireless Sensor Networks', reflects her dedication to advancing secure and efficient communication in IoT systems. With a Ph.D. in Computer Science and extensive teaching experience as an Associate Professor, Dr. Mohanraj continues to inspire and innovate in her field.

Educational Journey

Maharishi International University

Ph.D., M.Phil. & B.Sc. in Computer Science, Master of Computer Application • Computer Science

Experience

Associate Professor

0 - Present • Computer Science

Editors Role

Editor

0 - Present

Affiliations

Global Journal of Computer Science and Technology

Fellow

Member since 2021

Grants and Awards

FELLOWSHIP

Fellow

2021 6800 USD

Research

Optimized Load Centroid and Rabin Onion Secured Routing in Wireless Sensor Network for IoT

Article July 13, 2020

Advances in wireless communication have geared up extensive insights wherein the sensors can themselves communicate with other sensors that form significant parts of the Internet of Things (IoT). However, the large-scale acceptance of WSN for IoT is still surfacing threats and controversies that apprehend the security aspects. There are a lot of attacks that can manipulate the routein WSN for IoT. In this work, an Optimized Load Centroid and Rabin Onion Routing (OLC-ROR) method are designed to improve the throughput rate with minimum routing overhead and latency. The proposed method is based on a Centroid and Rabin Signature, a Digital Signature technique. First, the optimal route is identified by considering both the load and residual energy using Load Centroid function. Then onion routing is used for selecting secured route amongst the optimality. Besides, the node genuineness is checked by applying the Rabin Signature.