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 : 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 : 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.