Lingjia Liu's Webpage

• Principal Investigator: Lingjia Liu
• Student Investigator: Hao (Antonio) Song
• Student Investigator: Bodong Shang
• Student Investigator: Bowen Xu

<WRAP justify> With the advantages of easy deployment, self-organization, self-management, and high flexibility, swarm unmanned aerial vehicles (UAV) networks hold the promise of providing robust and efficient wireless communications in some special scenarios, such as emergency communications, hotspot region coverage, sensor networks, vehicular networks, etc., regardless of infrastructure, terrestrial and space topology constraints. Therefore, swarm UAV networks have attracted more and more attentions from both academia and industries. However, due to particularity of swarm UAV network scenarios, many communication and networking issues need to be resolved before swarm-based autonomous missions become reality.

In general, network protocol design of swarm UAV networks can be much more challenging than that of mobile ad hoc networks (MANETs) and vehicular ad hoc networks (VANETs). To be specific, protocols of swarm networks should be adapted to high mobility of UAVs, drastically changing network topology, and intermittently connected communication links. Furthermore, swarm UAVs usually have limited battery preventing complex protocols to be implemented.

In this project, we tackle those challenges by introducing a cross-layer approach to design dynamic network protocols/management strategies for swarm UAV networks using rateless coding, protocol decomposition, and network coding. </WRAP>

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