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 quality international 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.

This type of communication is used to transmit voice, video, telemetry, and data over long distances and local area networks or computer networks. A fiber Optic Communication System uses lightwave technology to transmit the data over fiber by changing electronic signals into light. Some of recent international works in this regards-

Y. Wan et al., "A high slope efficiency DBR all-fiber laser based on Yb-doped YAG crystal-derived silica fiber," 2020 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2020, pp. 1-2, doi: 10.1364/CLEOPR.2020.C1A_1.

L. Huang, C. Jiang, X. Zhao and Y. Liu, "Fabrication and sensing characteristics of 2 μm long period fiber grating written in double cladding fiber by CO2 laser," 2019 18th International Conference on Optical Communications and Networks (ICOCN), 2019, pp. 1-2, doi: 10.1109/ICOCN.2019.8934831

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.