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

计算机学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	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
编辑	Jia Hu, Geyong Min, Nektarios Georgalas, Zhiwei Zhao, Fei Hao, Wang Miao
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1271-1277
页数	7
ISBN（电子版）	9781665414852
DOI	https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188
出版状态	已出版 - 12月 2020
活动	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, 英国期限: 17 12月 2020 → 19 12月 2020

出版系列

姓名	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

会议

会议	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
国家/地区	英国
市	Virtual, Exeter
时期	17/12/20 → 19/12/20

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00188

其它文件与链接

链接到 Scopus 的出版物

引用此

Yang, Y., Yao, Y., Yang, G., & Zhou, X. (2020). A spatio-temporal event model for unmanned system swarm. 在 J. Hu, G. Min, N. Georgalas, Z. Zhao, F. Hao, & W. Miao (编辑), 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 (页码 1271-1277). 文章 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 等. / 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. 编辑 / Jia Hu ; Geyong Min ; Nektarios Georgalas ; Zhiwei Zhao ; Fei Hao ; Wang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 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. 在 J Hu, G Min, N Georgalas, Z Zhao, F Hao & W Miao (编辑), 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., 页码 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, 英国, 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 等.
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. 编辑 / Jia Hu; Geyong Min; Nektarios Georgalas; Zhiwei Zhao; Fei Hao; Wang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. 页码 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).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

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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. 在 Hu J, Min G, Georgalas N, Zhao Z, Hao F, Miao W, 编辑, 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. 页码 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

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此