Dynamic data communications for real-time information fusion

Weichang Wang; Lei Ying

Dynamic data communications for real-time information fusion

Weichang Wang, Lei Ying

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

Abstract

This paper studies dynamic data communications between airplanes and a control tower, where the control tower needs to monitor the state of each aircraft close to the airport or on the ground in real time. Given limited communication bandwidth, it is impossible for the control tower to communicate with all aircrafts at the same time. This paper focuses on the problem of optimal scheduling of data communications for the control tower to acquire information from aircrafts to minimize tracking errors. A dynamic learning problem with limited communication bandwidth is formulated in this paper where the objective is to minimize the total variance of real-time tracking. To solve the problem, a dynamic scheduling algorithm for data communications is proposed, which prioritizes data communications based on the tracking variances of the aircrafts, channel conditions and importance of the information. Our simulations demonstrate that our algorithm outperforms policies such as a round robin policy.

Original language	English (US)
Title of host publication	PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society
Editors	Anibal Bregon, Marcos Orchard
Publisher	Prognostics and Health Management Society
ISBN (Electronic)	9781936263295
State	Published - Aug 24 2018
Externally published	Yes
Event	10th Annual Conference of the Prognostics and Health Management Society, PHM 2018 - Philadelphia, United States Duration: Sep 24 2018 → Sep 27 2018

Publication series

Name	Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)	2325-0178

Conference

Conference	10th Annual Conference of the Prognostics and Health Management Society, PHM 2018
Country/Territory	United States
City	Philadelphia
Period	9/24/18 → 9/27/18

ASJC Scopus subject areas

Information Systems
Electrical and Electronic Engineering
Health Information Management
Computer Science Applications

Cite this

Dynamic data communications for real-time information fusion. / Wang, Weichang; Ying, Lei.
PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. ed. / Anibal Bregon; Marcos Orchard. Prognostics and Health Management Society, 2018. (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM).

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

Wang, W & Ying, L 2018, Dynamic data communications for real-time information fusion. in A Bregon & M Orchard (eds), PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM, Prognostics and Health Management Society, 10th Annual Conference of the Prognostics and Health Management Society, PHM 2018, Philadelphia, United States, 9/24/18.

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author = "Weichang Wang and Lei Ying",

note = "Funding Information: The research reported in this paper was supported in part by funds from NASA University Leadership Initiative program (Contract No. NNX17AJ86A, Project Officer: Dr. Kai Goebel, Principal Investigator: Dr. Yongming Liu). The support is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2018 Prognostics and Health Management Society. All rights reserved.; 10th Annual Conference of the Prognostics and Health Management Society, PHM 2018 ; Conference date: 24-09-2018 Through 27-09-2018",

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AB - This paper studies dynamic data communications between airplanes and a control tower, where the control tower needs to monitor the state of each aircraft close to the airport or on the ground in real time. Given limited communication bandwidth, it is impossible for the control tower to communicate with all aircrafts at the same time. This paper focuses on the problem of optimal scheduling of data communications for the control tower to acquire information from aircrafts to minimize tracking errors. A dynamic learning problem with limited communication bandwidth is formulated in this paper where the objective is to minimize the total variance of real-time tracking. To solve the problem, a dynamic scheduling algorithm for data communications is proposed, which prioritizes data communications based on the tracking variances of the aircrafts, channel conditions and importance of the information. Our simulations demonstrate that our algorithm outperforms policies such as a round robin policy.

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Dynamic data communications for real-time information fusion

Abstract

Publication series

Conference

ASJC Scopus subject areas

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