Parallel simulation of UAV swarm scenarios

The concept of operations for a micro-UAV system is adopted from nature from the appearance of flocking birds, movement of a school of fish, and swarming bees among others. This "emergent behavior" is the aggregate result of many simple interactions occurring within the flock, school, or swarm. Exploration of this emergent behavior in a swarm is accomplished through a high performance computing parallel discrete event simulation. After design of the system, several experiments are designed, tested, and analyzed for efficiency and effectiveness.

[1]  Michael R. M. Jenkin,et al.  A taxonomy for multi-agent robotics , 1996, Auton. Robots.

[2]  Keith M. Stantz,et al.  Swarms of UAVs and fighter aircraft , 1998 .

[3]  Kevin M. Corker Future air traffic management: technology, operations, and human factors implications , 1999 .

[4]  Bruce T Clough UAV Swarming? So What are Those Swarms, What are the Implications, and How Do We Handle Them? , 2002 .

[5]  Gary B. Lamont,et al.  A communications modeling system for swarm-based sensors , 2003 .

[6]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[7]  Christopher Bolkcom,et al.  Unmanned Aerial Vehicles: Background and Issues for Congress , 2003 .

[8]  R. Cassinis,et al.  Strategies for navigation of robot swarms to be used in landmines detection , 1999, 1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355).

[9]  Guang Yang,et al.  Multi-agent control algorithms for chemical cloud detection and mapping using unmanned air vehicles , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Timothy W. McLain Coordinated Control of Unmanned Air Vehicles , 1999 .

[11]  C. R. Davis Airborne Reconnaissance: The Leveraging Tool for Our Future Strategy. , 1995 .

[12]  C. P. Ravikumar High-Performance Cluster Computing. Volume 1: Architecutes and Systems. Volume 2: Programming and Applications , 1999, Scalable Comput. Pract. Exp..

[13]  David A. Brown Medusa's Mirror: Stepping Forward to Look Back "Future UAV Design Implications from the 21st Century Battlefield" , 1997 .

[14]  Clifford A. Shaffer,et al.  A practical introduction to data structures and algorithm analysis prentice hall , 1996 .

[15]  Bernd Bruegge,et al.  Object Oriented Software Engineering, Conquering Complex and Changing Systems , 2002 .

[16]  Maja J. Mataric,et al.  Issues and approaches in the design of collective autonomous agents , 1995, Robotics Auton. Syst..

[17]  Joshua J Corner Swarming Reconnaissance Using Unmanned Aerial Vehicles in a Parallel Discrete Event Simulation , 2004 .