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.
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Acknowledgement
This project is supported by the Research Development Fund (#RDF14-03-12) and XJTLU Key Programme Special Fund (#KSF-P-02) of the Xi’an Jiaotong-Liverpool University, Suzhou, China.
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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: Park, J., Yang, L., Jeong, YS., Hao, F. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2019 2019. Lecture Notes in Electrical Engineering, vol 590. Springer, Singapore. https://doi.org/10.1007/978-981-32-9244-4_26
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DOI: https://doi.org/10.1007/978-981-32-9244-4_26
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