Edge computing for low delay to cache and transfer electronic medical records

Ziyang Chen; Tamanna Shikh-Bahaei; Paul Luff; Mohammad Shikh-Bahaei

doi:10.1007/978-3-030-01057-7_38

Edge computing for low delay to cache and transfer electronic medical records

Ziyang Chen^*, Tamanna Shikh-Bahaei, Paul Luff, Mohammad Shikh-Bahaei

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

. A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

Original language	English
Pages (from-to)	474-486
Number of pages	13
Journal	Advances in Intelligent Systems and Computing
Volume	869
DOIs	https://doi.org/10.1007/978-3-030-01057-7_38
Publication status	E-pub ahead of print - 8 Nov 2018

Keywords

Dynamic vision sensor (DVS)
Edge computing
Medical records
�Sensors
�Transmission delay

Access to Document

10.1007/978-3-030-01057-7_38

Cite this

@article{879cbc0dc01d480a8ee82d0805c2dbbd,

title = "Edge computing for low delay to cache and transfer electronic medical records",

abstract = ". A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.",

keywords = "Dynamic vision sensor (DVS), Edge computing, Medical records, �Sensors, �Transmission delay",

author = "Ziyang Chen and Tamanna Shikh-Bahaei and Paul Luff and Mohammad Shikh-Bahaei",

year = "2018",

month = nov,

day = "8",

doi = "10.1007/978-3-030-01057-7_38",

language = "English",

volume = "869",

pages = "474--486",

journal = "Advances in Intelligent Systems and Computing",

issn = "2194-5357",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Edge computing for low delay to cache and transfer electronic medical records

AU - Chen, Ziyang

AU - Shikh-Bahaei, Tamanna

AU - Luff, Paul

AU - Shikh-Bahaei, Mohammad

PY - 2018/11/8

Y1 - 2018/11/8

N2 - . A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

AB - . A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

KW - Dynamic vision sensor (DVS)

KW - Edge computing

KW - Medical records

KW - �Sensors

KW - �Transmission delay

UR - http://www.scopus.com/inward/record.url?scp=85060469728&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-01057-7_38

DO - 10.1007/978-3-030-01057-7_38

M3 - Article

AN - SCOPUS:85060469728

SN - 2194-5357

VL - 869

SP - 474

EP - 486

JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

ER -

Edge computing for low delay to cache and transfer electronic medical records

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this