Alexander G. Madey

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The application of Dynamic Data Driven Application Systems (DDDAS) to the command and control of swarms of Unmanned Aerial Vehicles (UAVs) is being investigated. Swarm intelligent systems are not only efficient at solving group-level problems, but also decentralized, controllable by few simple parameters, making possible the command and control of UAV(More)
We present an approach to developing unmanned aerial vehicle (UAV) swarming behaviors and command and control (C2) strategies to govern them. In recent years, the military has become increasingly interested in the development and applications of UAVs. Recent attention has shifted toward designing UAVs which are not only unmanned, but also autonomous or(More)
54 A Cooperative Intrusion Detection Model Based on Granular Computing and Agent Technologies Wei Zhang, School of Computers, Guangdong University of Technology, Guangzhou, China Shaohua Teng, School of Computers, Guangdong University of Technology, Guangzhou, China Haibin Zhu, Collaborative Systems Laboratory, Nipissing University, North Bay, Canada(More)
Unmanned aerial vehicles (UAVs) are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or “swarm”. Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and(More)
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