A spatio-temporal event model for unmanned system swarm

Yukun Yang; Yuan Yao; Gang Yang; Xingshe Zhou

doi:10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

A spatio-temporal event model for unmanned system swarm

Yukun Yang
, Yuan Yao
, Gang Yang
, Xingshe Zhou

School of Computer Science

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.

Original language	English
Title of host publication	Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
Editors	Jia Hu, Geyong Min, Nektarios Georgalas, Zhiwei Zhao, Fei Hao, Wang Miao
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1271-1277
Number of pages	7
ISBN (Electronic)	9781665414852
DOIs	https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188
State	Published - Dec 2020
Event	18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 - Virtual, Exeter, United Kingdom Duration: 17 Dec 2020 → 19 Dec 2020

Publication series

Name	Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

Conference

Conference	18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
Country/Territory	United Kingdom
City	Virtual, Exeter
Period	17/12/20 → 19/12/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Collaboration
Event model
Event-driven architecture
Spatiotemporal
Unmanned system swarm

Access to Document

10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

Cite this

Yang, Y., Yao, Y., Yang, G., & Zhou, X. (2020). A spatio-temporal event model for unmanned system swarm. In J. Hu, G. Min, N. Georgalas, Z. Zhao, F. Hao, & W. Miao (Eds.), Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 (pp. 1271-1277). Article 9443846 (Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

Yang, Yukun ; Yao, Yuan ; Yang, Gang et al. / A spatio-temporal event model for unmanned system swarm. Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020. editor / Jia Hu ; Geyong Min ; Nektarios Georgalas ; Zhiwei Zhao ; Fei Hao ; Wang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1271-1277 (Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020).

@inproceedings{ed2acea45864462798008efd4ba1a24a,

title = "A spatio-temporal event model for unmanned system swarm",

abstract = "As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.",

keywords = "Collaboration, Event model, Event-driven architecture, Spatiotemporal, Unmanned system swarm",

author = "Yukun Yang and Yuan Yao and Gang Yang and Xingshe Zhou",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 ; Conference date: 17-12-2020 Through 19-12-2020",

year = "2020",

month = dec,

doi = "10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188",

language = "英语",

series = "Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1271--1277",

editor = "Jia Hu and Geyong Min and Nektarios Georgalas and Zhiwei Zhao and Fei Hao and Wang Miao",

booktitle = "Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020",

}

Yang, Y, Yao, Y, Yang, G & Zhou, X 2020, A spatio-temporal event model for unmanned system swarm. in J Hu, G Min, N Georgalas, Z Zhao, F Hao & W Miao (eds), Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020., 9443846, Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1271-1277, 18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020, Virtual, Exeter, United Kingdom, 17/12/20. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

A spatio-temporal event model for unmanned system swarm. / Yang, Yukun; Yao, Yuan; Yang, Gang et al.
Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020. ed. / Jia Hu; Geyong Min; Nektarios Georgalas; Zhiwei Zhao; Fei Hao; Wang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1271-1277 9443846 (Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020).

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

TY - GEN

T1 - A spatio-temporal event model for unmanned system swarm

AU - Yang, Yukun

AU - Yao, Yuan

AU - Yang, Gang

AU - Zhou, Xingshe

PY - 2020/12

Y1 - 2020/12

N2 - As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.

AB - As a typical distributed system, the unmanned system swarm realizes collaboration through information exchange between individuals. This paper proposes a spatiotemporal event model for unmanned swarms to provide support for stable operation and rapid response. First, based on the analysis of the collaboration problems in unmanned swarms, the collaboration relationship between unmanned cluster tasks is summarized according to graph theory. Then, we define and describe the spatio-temporal events for unmanned swarms, and obtain 3 temporal primitives and 6 spatial primitives according to the temporal relationship and spatial topological relationship. Finally, design an event-driven architecture that uses event triggering, heartbeat mechanism, and active inquiry methods to ensure the unmanned cluster system's consistency and fault tolerance on the basis of satisfying the rapid response of the unmanned system swarm.

KW - Collaboration

KW - Event model

KW - Event-driven architecture

KW - Spatiotemporal

KW - Unmanned system swarm

UR - https://www.scopus.com/pages/publications/85108028279

U2 - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

DO - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

M3 - 会议稿件

AN - SCOPUS:85108028279

T3 - Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

SP - 1271

EP - 1277

BT - Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

A2 - Hu, Jia

A2 - Min, Geyong

A2 - Georgalas, Nektarios

A2 - Zhao, Zhiwei

A2 - Hao, Fei

A2 - Miao, Wang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

Y2 - 17 December 2020 through 19 December 2020

ER -

Yang Y, Yao Y, Yang G, Zhou X. A spatio-temporal event model for unmanned system swarm. In Hu J, Min G, Georgalas N, Zhao Z, Hao F, Miao W, editors, Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1271-1277. 9443846. (Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020). doi: 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

A spatio-temporal event model for unmanned system swarm

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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