Assistant Professor, Gr-I
This collaborative research project between BITS Goa (Dr. Sarang C. Dhongdi), CSIR-NIO Goa (Pramod Kumar Maurya) and NIT Calicut (Dr. Rakesh R. Warier) aims to explore deep sea plumes with Autonomous Underwater Vehicles (AUVs). The project focuses on various aspects such as underwater communication and networking techniques, co- operative control of multi-vehicular fleet, and effective navigation and localization techniques for the exploration of deep-sea underwater plumes.
Equipment - Evologics DMACE S2C Acoustic Network Emulator Box
Collaborative networks of marine robots are steadily achieving ocean monitoring that is robust, adaptable, and high-performing. Seamless collaboration of marine robotic systems necessitates ongoing advancements in multiple interdisciplinary fields such as cooperative control and navigation, underwater networking, and estimation techniques. An integral enabling technology for the success of these networked marine robotic systems is the Internet of Underwater Things (IoUT). IoUT is defined as the network of smart interconnected underwater objects such as AUVs, ROVs, ASVs, buoys, and ships etc. These objects collect and transmit information through underwater communication channels, offering real-time data on ocean parameters.
The project team involves BITS Goa (Dr. Sarang Dhongdi, Dr. Narayan Manjarekar), NIT Calicut (Dr. Rakesh Warier), ISR/IST University of Lisbon, Portugal (Prof. Antonio Pascoal), and University of Toulon, France (Prof. Ricard Marxer).
Coral reefs are a very important environment that maintain a great variety of life forms and are indicators of ocean health. Currently coral reefs are monitored using divers and researchers have been collecting data periodically on environmental conditions. The current system does not provide real-time data through all seasons. In addition, it is invasive in nature. The main objective of the proposal is to develop an underwater acoustic sensor network which can be deployed for monitoring the regional coral reef non-intrusively and through all seasons. For deployment of this network, series of underwater nodes would be developed with the capability of sensing, communication, data processing and networking. Using these nodes an ad hoc self-configuring underwater acoustic sensor network will be built to monitor various parameters ocean environment using oceanographic sensors.
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