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Under Water Multimedia Wireless Communication for Underwater Observation, Disaster Detection and Early Warning of Surface Defects of Underwater Oil and Gas Pipelines


Project Description

Robert Gordon University, through the School of Engineering is offering a PhD studentship with tuition fees funded for Home/EU or International applicants.

This is a fees-only funded PhD studentship provided by the School of Engineering and interested candidates will have to secure their own financial support to upkeep their living costs.

The successful candidate will be based at RGU in Aberdeen and supervised by Dr Nazila Fough and Dr Radhakrishna Prabhu.

The project focuses on development of an advanced communication technique for efficient underwater communication and networking.
Oil and gas pipelines need to be monitored for any leakages, damage or potential hazard, otherwise it might pose big environmental hazard. There is a need for very efficient and reliable real time data communication between underwater wireless sensor nodes (UWSN) and onshore servers exchanging data and images via radio, acoustic and optical means.

If the challenge is resolved, then a self-configuring UWSN can be set up at certain locations to explore oil fields or monitor their conditions.
To realise all these goals, new offshore technology and infrastructure needs to be developed, maintained on a much wider scale than before in water and can transmit the acquired data or image in the form of a wireless signal to another sensor node, where this data can be processed, interpreted, and forwarded accordingly. A sensor node can be acoustic, thermal, optical, chemical etc., depending on the physical quantity it can measure or sense and transmit.

Each sensor node is mobile underwater to form part of various sensor network configurations based on QoS requested, real-time network conditions, and task nature of remote operations. In remote operation, conventional ROVs are connected to an onshore or offshore console station via an umbilical cable for power and data transmission.

There are two parts of this study: the first part includes the design of UWSN network for this goal, whereas the second part involves underwater data communication.

Performing underwater wireless sensor networking experiments in the field on real hardware is a little expensive. Initial investigation on underwater communication network design can be conducted via simulation/experimental. The developed system then be ported to hardware test rig for performance evaluation in laboratory and field tests.

Applications should be emailed to Dr Nazila Fough at . The applications should consist of a covering letter or personal statement of interest, and a CV.

Deadline for receipt of applications is 15th April 2020.

It is expected that candidates are available to register and commence study in October 2020.

Questions should initially be addressed to:
Dr Nazila Fough
T: +44 (0) 122 426 2427
E:
W: https://www3.rgu.ac.uk/dmstaff/fough-nazila/

Or

Dr Radhakrishna Prabhu
T: +44 (0) 122 426 2252
E:
W: https://www3.rgu.ac.uk/dmstaff/prabhu-radhakrishna/


Entry Requirements
• First or Second-Class UK honours degree, or equivalent, in a relevant discipline such as Electronic and Electrical Engineering, Communications Engineering, Software Engineering, Photonics Engineering, Computer and Network Engineering. MSc in subject areas of Network and Multimedia Communications Engineering is highly desirable
• Knowledge or experience of optical or acoustic transmission is advantageous.
• Knowledge or experience of simulation, programming and modelling is advantageous.

Funding
This studentship will cover the tuition fees only. Living costs and expenses are self-funded by the applicant.

Keywords: Underwater wireless sensor network, Acoustic and optical sensors, Realtime data communication.

Funding Notes

This studentship will cover the tuition fees only. Living costs and expenses are self-funded by the applicant.

How good is research at Robert Gordon University in General Engineering?

FTE Category A staff submitted: 14.00

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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