ESR 12

Behnaz Majlesein

Project: Power-efficient Underwater Wireless Optical Communications

Host: LightBee (Spain)

PhD: Universidad de Las Palmas de Gran Canaria (Spain)

Supervisor: Dr. J. Rufo

Hello, my name is Behnaz!

I am from the city of turquoise domes Isfahan, Iran.

My desire to grasp the concept of Electrical Components led me to obtain a Bachelor of Science degree in Electrical Engineering with the focus on Power electronic and a MSc in the same field with specialization on Underwater Optical Wireless Communication (UOWC) systems both from the Isfahan University of Technology, Iran. Now I am pursuing my study as a PhD student at the Universidad de Las Palmas de Gran Canaria, Spain with focusing on the power efficiency in UOWC system and also, I am working in LightBee.

I’m an outgoing person and enjoy making new friends from all around the world and getting familiar with different cultures also I like travelling, swimming, playing guitar, watching movies and hanging out with my friends.

Underwater Optical Wireless Communication (UOWC) has gained significant attention, in recent years, due to higher bandwidth, more immune to latency, lower cost and smaller volume transceivers in comparison to RF and acoustic. UOWC is used in numerous applications such as mineral exploration, ocean observation, submarine communication, diver-to-diver communication, military applications, underwater navigation and surveillance.

The power consumption of battery-powered isolated underwater nodes defines their lifespan, and due to the high replacement costs, it is a primary minimization objective. At the physical layer, modulations and encoding with pulsed shapes are better alternatives than continuous waveforms such as OFDM or CSK. However, these types of signals can be pulse width modulated in order to take advantage of high efficiency non-linear drivers. Additionally, power control algorithms (PCAs) help save energy by adapting the emitted power of isolated nodes.

This project will take into account that in underwater environment the best transmission windows are generally located in the blue-green region however the response of the optical devices makes red transmissions more energy-efficient below a critical distance. The use of low-power underwater IoT networks will be tested in a practical setup to measure the water quality parameters in seas, rivers and water treatment stations.