3.2c IEEE Paper - Minimising the Network Detection Probability Using Autonomous Vehicles
Tracks
Track 2
| Thursday, November 12, 2020 |
| 9:00 AM - 9:30 AM |
Speaker
Dr Andrew Coyle
Research Scientist
DST
.
Abstract
To minimise the probability of detection of a military network the power received at a distant point should be reduced. This can be achieved in various ways. Topology control has been shown to be able to reduce transmission power in these networks, lowering the network's RF power footprint and so the probability of detection. This paper looks at how
positioning autonomous vehicles can also be used to further reduce the received power at a adversary position and hence the probability of detection. An algorithm for this positioning is described and results presented.
positioning autonomous vehicles can also be used to further reduce the received power at a adversary position and hence the probability of detection. An algorithm for this positioning is described and results presented.
Biography
Andrew has over 30 years’ experience in Mathematical Modelling. He has a first-class honours degree and a PhD in Applied Mathematics from the University of Adelaide, and has worked in diverse areas including Forestry, Hydrology and Power Generation. Andrew recently joined the Advanced Vehicles Directorate at Defence Science and Technology Group as a Research Specialist. The previous 18 years he worked for the Centre for Defence Communications and Networking at the University of Adelaide. His work in communications includes analysing MANET routing protocols, using UAVs to improve tactical network performance, and underwater communications for mine clearing UUVs.
