A Hypernetwork Based Model for Emergency Response System

WANG Wei; LIU Shufen; LI Bing

doi:10.1049/cje.2020.00.335

Volume 31 Issue 1

Jan. 2022

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Article Navigation > Chinese Journal of Electronics > 2022 > 31(1): 129-136

WANG Wei, LIU Shufen, LI Bing, “A Hypernetwork Based Model for Emergency Response System,” Chinese Journal of Electronics, vol. 31, no. 1, pp. 129-136, 2022, doi: 10.1049/cje.2020.00.335

Citation:

WANG Wei, LIU Shufen, LI Bing, “A Hypernetwork Based Model for Emergency Response System,” Chinese Journal of Electronics, vol. 31, no. 1, pp. 129-136, 2022, doi: 10.1049/cje.2020.00.335

WANG Wei, LIU Shufen, LI Bing, “A Hypernetwork Based Model for Emergency Response System,” Chinese Journal of Electronics, vol. 31, no. 1, pp. 129-136, 2022, doi: 10.1049/cje.2020.00.335

Citation:

WANG Wei, LIU Shufen, LI Bing, “A Hypernetwork Based Model for Emergency Response System,” Chinese Journal of Electronics, vol. 31, no. 1, pp. 129-136, 2022, doi: 10.1049/cje.2020.00.335

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A Hypernetwork Based Model for Emergency Response System

doi: 10.1049/cje.2020.00.335

1.
College of Computer Science and Technology, Jilin University, Changchun 130012, China

Funds: This work was supported by the National Key R&D Program of China (2016YFC0802600)

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Author Bio:
was born in Henan Province, China, in 1981. He is a Ph.D. candidate in the College of Computer Science and Technology of Jilin University. His research interests include command scheduling algorithm and resources optimization allocation in aviation emergency rescue. (Email: wgc666@163.com)

was born in Jilin Province, China, in 1950. Currently she is a Professor in College of Computer Science and Technology of Jilin University. Her research interests include computer supported cooperative work, computer simulation technology, big data and artificial intelligence. (Email: liusf@jlu.edu.cn)

(corresponding author) was born in Henan Province, China, in 1977. He is a Lecturer in the College of Computer Science and Technology of Jilin University. His research interests include computer supported cooperative work, command scheduling algorithm and artificial intelligence. (Email: lib@jlu.edu.cn)
Received Date: 2020-10-10
Accepted Date: 2020-12-14

Available Online: 2021-10-16

Publish Date: 2022-01-05

Abstract

Abstract

Current emergency response systems are facing several challenges, including complex emergency network structure definition and inefficient emergency scheduling. For these problems, the paper analyzes the characteristics of emergency networks, and abstracts them into multiple interconnected, interdependent and interactive networks according to the characteristics of hierarchy, attribute and function, and then proposes a hypernetwork based model and its constraint conditions. Furthermore, the paper proposes an emergency scheduling method. This method fully considers the psychological factors of people and the rescue cost factors in disasters in order to balance the interests among different levels of network during rescue. The experiment results show that the model and the method proposed in this paper can not only better reveal the composition and structure of emergency response system, but also effectively balance the cost and the satisfaction in rescue.
- Hypernetwork,
- Emergency network model,
- Emergency scheduling,
- Emergency decision

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References(23)

References

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