Director of Studies: Dr Asiya Khan
Second Supervisor: Dr Sanjay Sharma
Additional supervisors: Dr Giovanni Masala
Applications are invited for a three year PhD studentship. The studentship will start on 1 October 2018.
Automobiles are currently undergoing a revolution just like mobile phones did ten years ago. Future automobile will be expected to communicate with other cars – vehicle-2-vehicle (V2V), with infrastructure/roadside sensors/pedestrians/cyclists/ anything else (V2x). The vision of smart cities includes connected vehicles amongst many other things. It is envisaged that 25 million ‘things’ will be connected by the year 2020. Connected vehicles offer a very promising solution to improve road safety and congestion.
The aim of this project will be to develop novel intelligent models for the connected vehicle network by combining Software Defined Networking (SDN) paradigm with the vehicular networks. Further, to develop control algorithms based on intelligent control to guarantee Quality of Service at an acceptable level for V2V and V2x communication type. In a vehicular network, each vehicle is regarded as a communication unit. The system will be simulated in network simulator 3 (ns3) and MATLAB. Sumo will be used to generate the traffic, the data files integrated with MATLAB for analysis and modelling. This studentship will suit someone with a background in programming.
The successful student will form part of a multidisciplinary team under the supervision of Dr Asiya Khan based in the Autonomous Marine Systems Research group in the School of Engineering.