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Dr. Vishnuvarthan R

Assistant Professor, School of Computing, Coimbatore

Qualification: M.E, Ph.D
r_vishnuvarthan@cb.amrita.edu
Google Scholar Profile

Bio

Dr. Vishnuvarthan R. is an Assistant Professor at the School of Computing, Coimbatore Campus. He completed his “Bachelor’s degree in Computer Science and Engineering from Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, in 2013 and his Master of Engineering from Anna University Regional Campus, Coimbatore, in 2016. He has completed his Ph.D. thesis titled “ENERGY EFFICIENT MOBILE SINK BASED OPTIMAL ROUTING STRATEGIES FOR WIRELESS SENSOR NETWORKS” at the Department of Electronics and Communication Engineering at The College of Engineering, Guindy, Anna University, Chennai, India. His current research interests include Cyber-Physical Systems and Reinforcement Learning.

Publications

Journal Article

Year : 2023

Spectrum-Efficient User and Qos -Aware Resource Allocation With Enhanced Uplink Transmission in U-LTE Networks Co-Occurrence With Wi-Fi by CRN

Cite this Research Publication : P. B. Pankajavalli , A. Muniyappan and R. Vishnuvarthan, "Spectrum-Efficient User and Qos -Aware Resource Allocation With Enhanced Uplink Transmission in U-LTE Networks Co-Occurrence With Wi-Fi by CRN," in IEEE Access , vol. 11, pp. 57295-57304, 2023, doi : 10.1109/ACCESS.2023.3284037.

Publisher : IEEE

Year : 2023

Double Q-learning-based adaptive trajectory selection for energy-efficient data collection in wireless sensor networks

Cite this Research Publication : Rajagopal, V, Velusamy, B, Rathinasamy , S. Double Q-learning-based adaptive trajectory selection for energy-efficient data collection in wireless sensor networks. International Journal of Communication Systems. 2023; 36(7 ):e 5452. doi : 10.1002/dac.5452

Year : 2019

Energy-efficient data collection in strip-based wireless sensor networks with optimal speed mobile data collectors

Cite this Research Publication : Vishnuvarthan R., Sakthivel R., Bhanumathi V., Muralitharan K., Energy-efficient data collection in strip-based wireless sensor networks with optimal speed mobile data collectors. Comput . Netw ., 156 (2019), pp. 33-40

Year : 2018

Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs

Cite this Research Publication : Krishnan, M.; Rajagopal, V.; Rathinasamy , S. Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs. Wirel . Netw . 2018 , 24, 683–693.

Year : 2018

Neural network based optimization approach for energy demand prediction in smart grid

Cite this Research Publication : K. Muralitharan, R. Sakthivel, R. Vishnuvarthan, Neural network based optimization approach for energy demand prediction in smart grid, Neurocomputing, 273 (2018), pp. 199-208.

Conference Paper

Year : 2022

Hybrid optimization method for WSN data collection using mobile sink based on TSP approach

Cite this Research Publication : V. Rajagopal and B. Velusamy, "Hybrid optimization method for WSN data collection using mobile sink based on TSP approach," ACI’22: Workshop on Advances in Computation Intelligence, its Concepts & Applications at ISIC 2022, May 17-19, Savannah, United States

Year : 2018

Performance Evaluation of MULE and SENMA Models for Strip-Based Wireless Sensor Networks

Cite this Research Publication : V. Rajagopal and B. Velusamy, "Performance Evaluation of MULE and SENMA Models for Strip-Based Wireless Sensor Networks," 2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR) , Ernakulam, India, 2018, pp. 1-4, doi : 10.1109/ICETIETR.2018.8529004.

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