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Sadaf Vahabli

PhD Student

Project - Efficient resource management in underwater mobile wireless sensor networks

Underwater communication has garnered significant attention due to its pivotal role in gathering information from Earth's vast water bodies for various applications. Underwater Wireless Sensor Networks (UWSNs) are designed to explore the underwater environment in specific areas, creating a connected network that includes sensor nodes, buoys, sink nodes, and base stations. Different communication methods, such as acoustic, optical, radio frequency, and magnetic induction, are employed under varying conditions. Acoustic communication stands out for its ability to transmit over long distances, unlike other techniques limited to shorter ranges. These networks have faced many challenges in the harsh working underwater environment. Notably, there is a lack of research addressing UWSN challenges such as an unreliable network, an overcrowded spectrum, high energy consumption, and overhead for mobile users, including underwater vehicles and marine animals.

In this regard, this research focuses on efficient resource management in underwater mobile wireless sensor networks with an emphasis on minimising harmful interference to marine animals. The handover method will be used to maintain a reliable and uninterrupted connection while optimising network performance in underwater environments. Additionally, an environmentally friendly spectrum management approach, employing cognitive acoustic techniques, will be implemented to detect unused acoustic channels and avoid spectrum interference with marine animals to minimise any harmful interference to them. Lastly, energy consumption and overhead considerations will be integrated to ensure the optimal performance of the network. This project aims to solve UWSN challenges by incorporating marine animals into the network to achieve safer underwater communication.

Research Areas and Interests

  • Mobile wireless sensor networks
  • Marine-friendly underwater acoustic network
  • Optimisation modelling

Qualifications

  • Master of Science, Islamic Azad University, Central Tehran Branch (IAUCTB), Iran, 2017.
  • Bachelor of Science, Islamic Azad University, Tehran North Branch (IAUTNB), Iran, 2012.

Supervisors


Contact

Sadaf Vahabli

School of Engineering
Centre for Green and Smart Energy Systems
Email: svahabli@our.ecu.edu.au

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