Research interest

UWSN is a network of autonomous sensor nodes which are spatially distributed underwater to sense the water-related properties such as quality, temperature, and pressure. The sensed data can be utilized by variety of applications that can be used for the benefit of humans. some of the international quality works on this regards-

Yu Yang, Zhang Xiaomin, P. Bo and Fu Yujing, "Design of sensor nodes in underwater sensor networks," 2009 4th IEEE Conference on Industrial Electronics and Applications, 2009, pp. 3978-3982, doi: 10.1109/ICIEA.2009.5138954.

M. Sunitha and R. K. Karunavathi, "Localization of Nodes in Underwater Wireless Sensor Networks," 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2019, pp. 820-823, doi: 10.1109/RTEICT46194.2019.9016743.

Underwater wireless communication networks (UWCNs) consist of sensors and autonomous underwater vehicles (AUVs) that interact, coordinate and share information with each other to carry out sensing and monitoring functions. Some of the recent international works on this regards-

Jinyong Cheon, Kweon Son, Sang-Kug Lee and Ho-Shin Cho, "A NOde-grouped OFDMA for multi-cluster underwater sensor networks," 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN), 2013, pp. 102-103, doi: 10.1109/ICUFN.2013.6614787.

R. Raymond, B. L. J. Savio, R. M. Gomathi and K. Priya, "A survey on data redundancy and node charge preserved underwater acoustic sensor network," 2017 International Conference on Communication and Signal Processing (ICCSP), 2017, pp. 1295-1298, doi: 10.1109/ICCSP.2017.8286591.

Generation is the part of power system where we convert some form of energy into electrical energy. This is the source of energy in the power system. It keeps running all the time. It generates power at different voltage and power levels depending upon the type of station and the generators used. Some of recent international works in this regards-

K. Qing, X. Xi, N. Zanxiang, H. Lipei and S. Kai, "Design of grid-connected directly driven wave power generation system with optimal control of output power," 2013 15th European Conference on Power Electronics and Applications (EPE), 2013, pp. 1-8, doi: 10.1109/EPE.2013.6631811.

Z. Krishans, A. Mutule and A. Kutjuns, "Integration of distributed generation in the networks of Latvian power system," 2005 IEEE Russia Power Tech, 2005, pp. 1-5, doi: 10.1109/PTC.2005.4524362

IoT devices contain sensors and mini-computer processors that act on the data collected by the sensors via machine learning. Machine learning is when computers learn in a similar way to humans by collecting data from their surroundings and it is what makes IoT devices smart. some of the recent international works on IoT in this regards-

C. Lee and A. Fumagalli, "Internet of Things Security - Multilayered Method For End to End Data Communications Over Cellular Networks," 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019, pp. 24-28, doi: 10.1109/WF-IoT.2019.8767227.

C. Zhang, "Intelligent Internet of things service based on artificial intelligence technology," 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2021, pp. 731-734, doi: 10.1109/ICBAIE52039.2021.9390061.