Large-Scale Highly Dynamic Wireless Networks: Architecture and Communication Strategies Design

Summary

Among the most exciting, challenging and important communications problems today are those involving large-scale highly dynamic wireless networks, particularly wireless vehicular networks for autonomous vehicles (also known as driverless or self-driving cars). The social and economical benefits of autonomous vehicles are numerous: reducing traffic congestion, saving fuels and reducing greenhouse gas emission, freeing drivers and improving productivity, helping reconnect the elderly and disabled to our society, and the most compelling benefit is of course improving road safety and saving lives - in Australia alone the number of serious injury accidents every year is over 25,000 and 1507 people lost their lives in Australian roads in 2009. This project proposes to develop scientific tools for the modelling, characterization, network architecture design and communication strategies design of highly dynamic networks, with a particular focus on highly dynamic vehicular networks for autonomous vehicles. The aim is to develop fundamental methodologies, built on a solid understanding of the characteristics of these networks, that provide design principles and management guidelines for these networks.

The following topic areas will be investigated (but not limited to):
• Characterization of dynamic networks.
• Network architecture design.
• Building local consensus.
• Statistical radio resource management.
• Cooperative communication strategy.

Supervisor(s)

Associate Professor Guoqiang Mao

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

Among the most exciting, challenging and important communications problems today are those involving large-scale highly dynamic wireless networks, particularly wireless vehicular networks for autonomous vehicles (also known as driverless or self-driving cars). The social and economical benefits of autonomous vehicles are numerous: reducing traffic congestion, saving fuels and reducing greenhouse gas emission, freeing drivers and improving productivity, helping reconnect the elderly and disabled to our society, and the most compelling benefit is of course improving road safety and saving lives - in Australia alone the number of serious injury accidents every year is over 25,000 and 1507 people lost their lives in Australian roads in 2009. This project proposes to develop scientific tools for the modelling, characterization, network architecture design and communication strategies design of highly dynamic networks, with a particular focus on highly dynamic vehicular networks for autonomous vehicles. The aim is to develop fundamental methodologies, built on a solid understanding of the characteristics of these networks, that provide design principles and management guidelines for these networks.

The following topic areas will be investigated (but not limited to):
• Characterization of dynamic networks.
• Network architecture design.
• Building local consensus.
• Statistical radio resource management.
• Cooperative communication strategy.

Additional Information

 http://www.ee.usyd.edu.au/people/guoqiang.mao/index.html

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Keywords

vehicular networks, intelligent transport system, autonomous vehicles, dynamic networks, mobile networks, radio resource management, cooperative communication, wireless multi-hop networks localization, consensus

Opportunity ID

The opportunity ID for this research opportunity is: 1346

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