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Energy-aware routing for wireless sensor networks for structural health monitoring


Project Description

Applications are invited for a fully-funded three year PhD to commence in October 2019.

The PhD will be based in the School of Computing and will be supervised by Dr Ioannis Kagalidis, Dr Nikos Nanos and Dr Branislav Vuksanovic.

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


Project description

Structural Health inevitably degrades over the long service period of contemporary structures. Despite the above, pressing socio-economic reasons drive the constant need of retaining and utilising existing buildings, well passed their original design life span. Small scale seismic events (microtremmors) have been shown to negatively affect the residual capacity of structures without immediate and obvious manifestations of damage leading to catastrophic failures during strong motion events that are seemingly well within the design specifications of the time of design (SoCal 1994, Kobbe 1995, Athens 1996, Kashmir 2005, Abbruzzi 2009, Amatricce 2016, Mexico City 2017, etc.).

Traditionally, structural health monitoring is an extremely resource intensive procedure that is reserved for high importance structures and fails to capture the vulnerability potential on a city scale. This leads to catastrophic failures during strong motion events taking a big toll on lives but also significantly increasing 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 and;
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.


General admissions criteria
You’ll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an appropriate subject. 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.
Specific candidate requirements


How to Apply

We’d encourage you to contact Dr Ioannis Kagalidis () to discuss your interest before you apply, quoting the project code.

When you are 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.


If you want to be considered for this funded PhD opportunity you must quote project code CCTS4960219 when applying.

Funding Notes

Candidates applying for this project may be eligible to compete for one of a small number of bursaries available. The bursary is available to UK and EU students only and covers tuition fees and an annual maintenance grant in line with the RCUK rate (£14,777 for 2018/19). The Faculty of Technology may fund project costs/consumables up to £1,500 p.a.

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