Energy-aware routing for wireless sensor networks for structural health monitoring
PhDs and postgraduate research
Self-funded PhD students only
School of Computing
Applications accepted all year round
The work on this project will involve:
- Development of Energy-aware (and Geometric-aware) routing protocol requirements for structural health monitoring WSNs
- Development of Energy–aware (and Geometric-aware) routing protocol
- Use of Geometric-aware routing protocol for secondary structural topology representation
- Use of Energy-aware routing protocol for the optimisation of the energy requirements of the WSN for structural health monitoring
Structural Health inevitably degrades over the long service period of contemporary structures, but socio-economic reasons drive the constant need to use and retain existing buildings, well beyond their original design lifespan.
Small-scale seismic events (microtremors) have been shown to negatively affect the residual capacity of structures without immediate and obvious manifestations of damage, which has led to catastrophic failures during strong motion events that appear well within the design specifications at the time of design (SoCal 1994, Kobbe 1995, Athens 1996, Kashmir 2005, Abbruzzi 2009, Amatricce 2016, Mexico City 2017, etc).
Because structural health monitoring is traditionally an extremely resource-intensive procedure reserved for high importance structures, it also fails to capture the vulnerability potential on a city scale, and significantly increases the post-earthquake cost and rehabilitation expenditure needed.
This project concerns Low-Cost, Near Real-Time Structural Health Monitoring (SHM) systems based on wireless sensor networks (WSNs). Routing is of paramount importance in WSNs as it critically contributes not only in the delivery of data from the sensor, but also directly to the network lifetime and energy consumption of the sensor network. Two specific research areas have been identified as requiring urgent investigation:
- Geometric-aware routing, where location awareness in all the sensor nodes that are deployed at a specific location will also provide a secondary structural topology representation
- Routing based on energy awareness: maximizing the network lifetime in WSNs is of paramount importance as energy requirements and regular recharging of the sensor nodes may not be possible due to the expense or placement of the individual nodes. Network long life expectancy is also a factor.
Fees and funding
Funding availability: Self-funded PhD students only.
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only).
2020/2021 fees (applicable for October 2020 and February 2021 start)
Home/EU/CI full-time students: £4,407 p/a*
Home/EU/CI part-time students: £2,204 p/a*
International full-time students: £16,400 p/a*
International part-time students: £8,200 p/a*
*All fees are subject to annual increase
- You'll need a good first degree from an internationally recognised university (minimum second class or equivalent, depending on your chosen course) or a Master’s degree in a relevant subject area
- In exceptional cases, we may consider equivalent professional experience and/or Qualifications
- English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0
How to apply
Please contact Dr Ioannis Kagalidis (Ioannis.Kagalidis@port.ac.uk) to discuss your interest before you apply, quoting the project code.
When you're ready to apply, you can use our online application form and select ‘Computing’ as the subject area. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV.
Our ‘How to Apply’ page offers further guidance on the PhD application process.
Please note, to be considered for this self-funded PhD opportunity you must quote project code CCTS4960219 when applying.