An intelligent evaluation method of application scenario complexity level of unmanned swarms

Wenliang Wu; Xingshe Zhou

doi:10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00191

An intelligent evaluation method of application scenario complexity level of unmanned swarms

Wenliang Wu
, Xingshe Zhou

School of Computer Science

Northwestern Polytechnical University Xian

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

Abstract

With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.

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	1292-1299
Number of pages	8
ISBN (Electronic)	9781665414852
DOIs	https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00191
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

Intelligence level
Scenario complexity
SOFNN
Unmanned swarms
Urban search

Access to Document

10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00191

Cite this

Wu, W., & Zhou, X. (2020). An intelligent evaluation method of application scenario complexity level of unmanned swarms. 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. 1292-1299). Article 9443789 (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-SustainCom51426.2020.00191

Wu, Wenliang ; Zhou, Xingshe. / An intelligent evaluation method of application scenario complexity level of unmanned swarms. 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. 1292-1299 (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{da230f7951ec473a9e284a756d007624,

title = "An intelligent evaluation method of application scenario complexity level of unmanned swarms",

abstract = "With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.",

keywords = "Intelligence level, Scenario complexity, SOFNN, Unmanned swarms, Urban search",

author = "Wenliang Wu 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-SustainCom51426.2020.00191",

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 = "1292--1299",

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",

}

Wu, W & Zhou, X 2020, An intelligent evaluation method of application scenario complexity level of unmanned swarms. 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., 9443789, 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. 1292-1299, 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-SustainCom51426.2020.00191

An intelligent evaluation method of application scenario complexity level of unmanned swarms. / Wu, Wenliang; Zhou, Xingshe.
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. 1292-1299 9443789 (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 - An intelligent evaluation method of application scenario complexity level of unmanned swarms

AU - Wu, Wenliang

AU - Zhou, Xingshe

PY - 2020/12

Y1 - 2020/12

N2 - With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.

AB - With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.

KW - Intelligence level

KW - Scenario complexity

KW - SOFNN

KW - Unmanned swarms

KW - Urban search

UR - https://www.scopus.com/pages/publications/85108024166

U2 - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00191

DO - 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00191

M3 - 会议稿件

AN - SCOPUS:85108024166

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 - 1292

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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 -

Wu W, Zhou X. An intelligent evaluation method of application scenario complexity level of unmanned swarms. 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. 1292-1299. 9443789. (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-SustainCom51426.2020.00191

An intelligent evaluation method of application scenario complexity level of unmanned swarms

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this