TY - GEN
T1 - Evolutionary allocation of mobile assets in a distributed surveillance network
AU - Williams, Jonathan
AU - Weinschenk, Jeffrey
AU - Lee, Kwang Y.
PY - 2007
Y1 - 2007
N2 - Wide area surveillance using a distributed network of autonomous assets is an increasingly important application for homeland security, harbor defense, and airborne target cueing. Optimal allocation of these autonomous assets remains a challenging endeavor; the surveillance area is large, assets may have a limited ability to communicate with each other, and the contact's position is uncertain. We present an evolutionary algorithm that balances the objectives of maximum network endurance and minimum contact free time. Simulation results are presented that demonstrate the effectiveness of the approach.
AB - Wide area surveillance using a distributed network of autonomous assets is an increasingly important application for homeland security, harbor defense, and airborne target cueing. Optimal allocation of these autonomous assets remains a challenging endeavor; the surveillance area is large, assets may have a limited ability to communicate with each other, and the contact's position is uncertain. We present an evolutionary algorithm that balances the objectives of maximum network endurance and minimum contact free time. Simulation results are presented that demonstrate the effectiveness of the approach.
UR - http://www.scopus.com/inward/record.url?scp=70449108051&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449108051&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:70449108051
SN - 9781605604572
T3 - Association for Unmanned Vehicle Systems International - Unmanned Systems North America Conference 2007
SP - 1206
EP - 1220
BT - Association for Unmanned Vehicle Systems International - Unmanned Systems North America Conference 2007
T2 - Unmanned Systems North America Conference 2007
Y2 - 6 August 2007 through 9 August 2007
ER -