@inproceedings{9d2a920934714b6080ae47bee6834a19,
title = "Agent-based simulation for UAV swarm mission planning and execution",
abstract = "Swarms of Unmanned Aerial Vehicles (UAV) have been foreseen by multiple organizations to serve an important role in future air-based warfare and civilian operations. UAVs are less expensive than their piloted counterparts, provide greater flexibilities and remove the need for on-board pilot support. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. An agent-based control framework is proposed, which employs a control agent for task assignment and multiple UAV agents for local task scheduling. A prototype simulation framework is implemented as a proof-of-concept. Experimentation with the framework suggests the effectiveness of swarm control using several mission planning mechanisms.",
keywords = "Agent-based simulation, Mission planning, UAV swarm",
author = "Yi Wei and Madey, {Gregory R.} and Blake, {M. Brian}",
year = "2013",
month = may,
day = "3",
language = "English (US)",
isbn = "9781627480291",
series = "Simulation Series",
number = "1",
pages = "7--14",
booktitle = "Proceedings of the 2013 Spring Simulation Multiconference, SpringSim 2013 - Agent-Directed Simulation Symposium, ADS 2013",
edition = "1",
note = "Agent-Directed Simulation Symposium, ADS 2013, Part of the 2013 Spring Simulation Multiconference, SpringSim 2013 ; Conference date: 07-04-2013 Through 10-04-2013",
}