Wireless communications is a ubiquitous technology which will be critical to establishing the Internet of Things. On this course you will combine taught material central to your research as well as advanced knowledge obtained from your research project. The Aston Adaptive Communications Research Group has expertise in LTE, machine to machine communication, multimedia transmission and ad-hoc networking. The course will enhance your employability throughout the wireless communications industry.
This programme trains aspiring academic and industrial research scientists. The programme consists of a training aspect of taught components (equivalent to 3 modules approximately during the first 3 months) and a significant interdisciplinary research project.
In additional to the research skills module (ISI4001), students will study approximately 20 credits of material relevant to their research topic and experience. This material will be determined through a training needs analysis undertaken in collaboration with their project supervisor.
Exemption from these modules may be arranged through APL or APEL, provided this is done prior to enrolment.
In Electronic Engineering we can supervise projects in the following areas. In addition, applicants may also suggest their own project.
Possible projects (Wireless Communications):
· Quantitative analysis of failure in Wireless Sensor networks
Wireless sensor networks will form a backbone for the "Internet of Things" vision for the future. As the applications develop there will be a need to consider the network characteristics as part of the overall functional safety design of systems. The aim of this project is to study how node failures in a wireless sensor network affect an overall system failure rate for different network topologies and protocols.
· Linear Topology Wireless Sensor Networks
There are numerous applications for wireless sensor networks which require linear network topologies. These include the monitoring of oil pipelines, power lines and railway and roadside monitoring. The aim of this project will be to examine how well current network protocols operate in these scenarios and to develop and optimise a protocol optimised specifically for them.