Prediction task assignment of multi-UAV approach based on consensus

Chen Chen; Zheng Qin; Jian Kuan Xing

doi:10.1007/978-3-642-16397-5_17

Prediction task assignment of multi-UAV approach based on consensus

Chen Chen^*, Zheng Qin, Jian Kuan Xing

^*Corresponding author for this work

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.

Original language	English
Title of host publication	E-business Technology and Strategy - International Conference, CETS 2010, Proceedings
Pages	192-199
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-16397-5_17
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on E-Business Technology and Strategy, CETS 2010 - Ottawa, ON, Canada Duration: 29 Sept 2010 → 30 Sept 2010

Publication series

Name	Communications in Computer and Information Science
Volume	113 CCIS
ISSN (Print)	1865-0929

Conference

Conference	International Conference on E-Business Technology and Strategy, CETS 2010
Country/Territory	Canada
City	Ottawa, ON
Period	29/09/10 → 30/09/10

Keywords

Distribution System
Multi-task Assignment
Prediction
Tracking
UAV

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10.1007/978-3-642-16397-5_17

Cite this

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title = "Prediction task assignment of multi-UAV approach based on consensus",

abstract = "In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.",

keywords = "Distribution System, Multi-task Assignment, Prediction, Tracking, UAV",

author = "Chen Chen and Zheng Qin and Xing, {Jian Kuan}",

year = "2010",

doi = "10.1007/978-3-642-16397-5_17",

language = "English",

isbn = "3642163963",

series = "Communications in Computer and Information Science",

pages = "192--199",

booktitle = "E-business Technology and Strategy - International Conference, CETS 2010, Proceedings",

note = "International Conference on E-Business Technology and Strategy, CETS 2010 ; Conference date: 29-09-2010 Through 30-09-2010",

}

Chen, C, Qin, Z & Xing, JK 2010, Prediction task assignment of multi-UAV approach based on consensus. in E-business Technology and Strategy - International Conference, CETS 2010, Proceedings. Communications in Computer and Information Science, vol. 113 CCIS, pp. 192-199, International Conference on E-Business Technology and Strategy, CETS 2010, Ottawa, ON, Canada, 29/09/10. https://doi.org/10.1007/978-3-642-16397-5_17

Prediction task assignment of multi-UAV approach based on consensus. / Chen, Chen; Qin, Zheng; Xing, Jian Kuan.
E-business Technology and Strategy - International Conference, CETS 2010, Proceedings. 2010. p. 192-199 (Communications in Computer and Information Science; Vol. 113 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Prediction task assignment of multi-UAV approach based on consensus

AU - Chen, Chen

AU - Qin, Zheng

AU - Xing, Jian Kuan

PY - 2010

Y1 - 2010

N2 - In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.

AB - In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.

KW - Distribution System

KW - Multi-task Assignment

KW - Prediction

KW - Tracking

KW - UAV

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U2 - 10.1007/978-3-642-16397-5_17

DO - 10.1007/978-3-642-16397-5_17

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SN - 3642163963

SN - 9783642163968

T3 - Communications in Computer and Information Science

SP - 192

EP - 199

BT - E-business Technology and Strategy - International Conference, CETS 2010, Proceedings

T2 - International Conference on E-Business Technology and Strategy, CETS 2010

Y2 - 29 September 2010 through 30 September 2010

ER -

Prediction task assignment of multi-UAV approach based on consensus

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Keywords

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