Muralitharan Krishnan

According to our database, Muralitharan Krishnan authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Detection and defending the XSS attack using novel hybrid stacking ensemble learning-based DNN approach.

Muralitharan Krishnan, Yongdo Lim, Seethalakshmi Perumal, Gayathri Palanisamy

Digit. Commun. Networks, 2024

2023

Energy efficient data gathering using mobile sink in IoT for reliable irrigation.

Vishnuvarthan Rajagopal, Bhanumathi Velusamy, Muralitharan Krishnan, Rathinasamy Sakthivel

Sustain. Comput. Informatics Syst., December, 2023

2021

Reinforcement learning-based dynamic routing using mobile sink for data collection in WSNs and IoT applications.

Muralitharan Krishnan, Yongdo Lim

J. Netw. Comput. Appl., 2021

2019

Dynamic clustering approach with ACO-based mobile sink for data collection in WSNs.

Muralitharan Krishnan, Sangwoon Yun, Yoon Mo Jung

Wirel. Networks, 2019

Novel elegant fuzzy genetic algorithms in classification problems.

Venkatanareshbabu Kuppili, S. Nisheel, Rathinasamy Sakthivel, Muralitharan Krishnan

Soft Comput., 2019

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

R. Vishnuvarthan, Rathinasamy Sakthivel, V. Bhanumathi, Muralitharan Krishnan

Comput. Networks, 2019

Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks.

Muralitharan Krishnan, Sangwoon Yun, Yoon Mo Jung

Comput. Networks, 2019

2018

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

Muralitharan Krishnan, Vishnuvarthan Rajagopal, Rathinasamy Sakthivel

Wirel. Networks, 2018

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

Muralitharan Krishnan, Rathinasamy Sakthivel, R. Vishnuvarthan

Neurocomputing, 2018

2016

Multiobjective optimization technique for demand side management with load balancing approach in smart grid.

Muralitharan Krishnan, Rathinasamy Sakthivel, Yan Shi

Neurocomputing, 2016