PhD Research Student
Aspects of Machine to Machine in Massive Cluster Based Vehicular Ad-Hoc Networks
Proposed program of research: m2m for vehicular ad-hoc networks. In 2018, the first of the next generation of 5G public land mobile networks are expected to be operational. Currently vehicular ad-hoc networks consider protocols like 802.11p, a modified form of Wi-Fi for vehicle to vehicle communication and 4G/5G for vehicle to infrastructure communication. However, in 5G each vehicle can be considered as a cluster of sensor nodes and the Internet of Things aspects of 5G may allow all or a subset to be connected outside of the immediate vehicle. My research will look at how 5G can be used to connect clusters of mobile nodes via the cloud. The work will involve network simulation, measurements of radio channels and traffic analysis of promising 5G technologies.