Supervisors: Dr Stylianos Assimonis (EEECS) (Potential Co-Supervisor) Prof Simon Cotton (EEECS) This project envisions the design of an energy autonomous, large-scale, low-cost wireless sensor network with battery-less sensor-nodes, based on ambient excitation, without the need for a dedicated excitation source, which in sharp contrast to state-of the art technologies, it will simultaneously aim to both long-range connectivity between the sensor nodes-reader(s) and high-data rate. Academic Requirements:2.1 honours degree or equivalent in Electrical and Electronic Engineering or relevant degree is required
A What if we could just sense temperature or humidity or movement etc., from hundreds of sensors, e.g., randomly dispersed from an aircraft, far from infrastructures and transmit all this information to a reader, e.g., to a drone, hundreds of meters away by using only ambient power?
If this is possible it would remove the need for permanent infrastructure, while facilitating remote sensing of the environment – with exciting applications such as crop monitoring etc. – across a much larger scale and in more detail than is currently possible. To achieve this, wireless communication technology should target the development of IoT devices which exhibit some amazing but challenging properties:
a)battery-less, harvesting energy of ambient sources and consuming ultra-low power to operate and communicate,
b)long-range, able to communicate over long distances with a remote access point,
c)ambient excitation signal, using ambient signals as carrier wave, instead of a dedicated continuous wave transmitter to send an excitation signal, which consistently consumes extra spectrum and complicates deployment,
d)low-cost, enabling the development of large-scale wireless networks,
e)relatively high-rate, able to serve data demanding applications.
To the best of our knowledge, no existing wireless technology fulfils all these requirements. This project envisions the design of an energy autonomous, large-scale, low-cost wireless sensor network with battery-less sensor-nodes, based on ambient excitation, without the need for a dedicated excitation source (ambient backscatter (AB)), which in sharp contrast to state-of the art technologies, it will simultaneously aim to both long-range connectivity between the sensor nodes-reader(s) and high-communication rate.
The successful candidate will be part of a vigorous research team and will find all the support and technical help in order to pursue her/his research interests.
1.Formulate a novel and holistic design framework for energy autonomous IoT devices for AB communication
2.Analysis and design of novel, energy autonomous, scatter radio-based sensor-nodes
3.Fabrication, measurement and development of testbed (prototyping development)
The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.
You’ll be part of a dynamic doctoral research environment and will study alongside students from
over 40 countries worldwide; we supervise students undertaking research in key areas of electronics and
electrical engineering, including: power electronics,robotics, wireless communications, cybersecurity and sensor-based systems. As part of a lively community of over 100 full-time and part-time research students you’ll have the opportunity to develop your research potential in a vibrant research community that prioritises the cross-fertilisation of ideas and innovation in the advancement of knowledge.
Within the School we have a number of specialist research centres including a Global Research Institute, the Institute of Electronics, Communications and Information Technology (ECIT) specialising in Cyber Security, Wireless Innovation and Data Science and scalable computing.
Many PhD studentships attract scholarships and top-up supplements. PhD programmes provide our students with the opportunity to acquire an extensive training in research techniques.
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