A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN

Yuechun Wang; Ka Lok Man; Danny Hughes; Steven Guan; Prudence Wong

doi:10.1007/978-981-32-9244-4_26

A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN

Yuechun Wang, Ka Lok Man^*, Danny Hughes, Steven Guan, Prudence Wong

^*Corresponding author for this work

Department of Computing

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

3 Citations (Scopus)

Abstract

This paper presents a rapid response system architecture for the distributed management of warehouses in logistics by applying the concept of edge computing. A tiered edge node architecture is proposed for the system to process computing tasks of different complexity, and a corresponding rapid response algorithm is introduced. A software-defined simulation is done to evaluate the system performances on rapidness and correctness, from which it can be concluded that all pre-defined emergency cases can be detected and responded to within a relatively short period of time.

Original language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2019
Editors	Laurence T. Yang, Fei Hao, Young-Sik Jeong, James J. Park
Publisher	Springer Verlag
Pages	183-189
Number of pages	7
ISBN (Print)	9789813292437
DOIs	https://doi.org/10.1007/978-981-32-9244-4_26
Publication status	Published - 2020
Event	13th International Conference on Multimedia and Ubiquitous Engineering, MUE 2019 and 14th International Conference on Future Information Technology, Future Tech 2019 - Xian, China Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	590
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	13th International Conference on Multimedia and Ubiquitous Engineering, MUE 2019 and 14th International Conference on Future Information Technology, Future Tech 2019
Country/Territory	China
City	Xian
Period	24/04/19 → 26/04/19

Keywords

Distributed warehouses management
Edge computing
Logistics
Rapid response algorithm
Wireless Sensor Networks (WSN)

Access to Document

10.1007/978-981-32-9244-4_26

Cite this

Wang, Y., Man, K. L., Hughes, D., Guan, S., & Wong, P. (2020). A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN. In L. T. Yang, F. Hao, Y.-S. Jeong, & J. J. Park (Eds.), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2019 (pp. 183-189). (Lecture Notes in Electrical Engineering; Vol. 590). Springer Verlag. https://doi.org/10.1007/978-981-32-9244-4_26

@inproceedings{6b43bc4398aa481fa4d6a49f8338f904,

title = "A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN",

abstract = "This paper presents a rapid response system architecture for the distributed management of warehouses in logistics by applying the concept of edge computing. A tiered edge node architecture is proposed for the system to process computing tasks of different complexity, and a corresponding rapid response algorithm is introduced. A software-defined simulation is done to evaluate the system performances on rapidness and correctness, from which it can be concluded that all pre-defined emergency cases can be detected and responded to within a relatively short period of time.",

keywords = "Distributed warehouses management, Edge computing, Logistics, Rapid response algorithm, Wireless Sensor Networks (WSN)",

author = "Yuechun Wang and Man, {Ka Lok} and Danny Hughes and Steven Guan and Prudence Wong",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 13th International Conference on Multimedia and Ubiquitous Engineering, MUE 2019 and 14th International Conference on Future Information Technology, Future Tech 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2020",

doi = "10.1007/978-981-32-9244-4_26",

language = "English",

isbn = "9789813292437",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "183--189",

editor = "Yang, {Laurence T.} and Fei Hao and Young-Sik Jeong and Park, {James J.}",

booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2019",

}

Wang, Y, Man, KL, Hughes, D, Guan, S & Wong, P 2020, A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN. in LT Yang, F Hao, Y-S Jeong & JJ Park (eds), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2019. Lecture Notes in Electrical Engineering, vol. 590, Springer Verlag, pp. 183-189, 13th International Conference on Multimedia and Ubiquitous Engineering, MUE 2019 and 14th International Conference on Future Information Technology, Future Tech 2019, Xian, China, 24/04/19. https://doi.org/10.1007/978-981-32-9244-4_26

A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN. / Wang, Yuechun; Man, Ka Lok; Hughes, Danny et al.
Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2019. ed. / Laurence T. Yang; Fei Hao; Young-Sik Jeong; James J. Park. Springer Verlag, 2020. p. 183-189 (Lecture Notes in Electrical Engineering; Vol. 590).

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

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AU - Man, Ka Lok

AU - Hughes, Danny

AU - Guan, Steven

AU - Wong, Prudence

PY - 2020

Y1 - 2020

N2 - This paper presents a rapid response system architecture for the distributed management of warehouses in logistics by applying the concept of edge computing. A tiered edge node architecture is proposed for the system to process computing tasks of different complexity, and a corresponding rapid response algorithm is introduced. A software-defined simulation is done to evaluate the system performances on rapidness and correctness, from which it can be concluded that all pre-defined emergency cases can be detected and responded to within a relatively short period of time.

AB - This paper presents a rapid response system architecture for the distributed management of warehouses in logistics by applying the concept of edge computing. A tiered edge node architecture is proposed for the system to process computing tasks of different complexity, and a corresponding rapid response algorithm is introduced. A software-defined simulation is done to evaluate the system performances on rapidness and correctness, from which it can be concluded that all pre-defined emergency cases can be detected and responded to within a relatively short period of time.

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KW - Edge computing

KW - Logistics

KW - Rapid response algorithm

KW - Wireless Sensor Networks (WSN)

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T3 - Lecture Notes in Electrical Engineering

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A2 - Yang, Laurence T.

A2 - Hao, Fei

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PB - Springer Verlag

T2 - 13th International Conference on Multimedia and Ubiquitous Engineering, MUE 2019 and 14th International Conference on Future Information Technology, Future Tech 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

A Rapid Response Approach Applying Edge Computing for Distributed Warehouses in WSN

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