Achievable rate estimation of IEEE 802.11ad visual big-data uplink access in cloud-enabled surveillance applications

Joongheon Kim, Jong-Kook Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper addresses the computation procedures for estimating the impact of interference in 60 GHz IEEE 802.11ad uplink access in order to construct visual big-data database from randomly deployed surveillance camera sensing devices. The acquired large-scale massive visual information from surveillance camera devices will be used for organizing big-data database, i.e., this estimation is essential for constructing centralized cloud-enabled surveillance database. This performance estimation study captures interference impacts on the target cloud access points from multiple interference components generated by the 60 GHz wireless transmissions from nearby surveillance camera devices to their associated cloud access points. With this uplink interference scenario, the interference impacts on the main wireless transmission from a target surveillance camera device to its associated target cloud access point with a number of settings are measured and estimated under the consideration of 60 GHz radiation characteristics and antenna radiation pattern models.

Original languageEnglish
Article numbere0167447
JournalPLoS One
Volume11
Issue number12
DOIs
Publication statusPublished - 2016 Dec 1

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cameras
Cameras
Equipment and Supplies
monitoring
Databases
Radiation
Directional patterns (antenna)
antennae
Big data

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Achievable rate estimation of IEEE 802.11ad visual big-data uplink access in cloud-enabled surveillance applications. / Kim, Joongheon; Kim, Jong-Kook.

In: PLoS One, Vol. 11, No. 12, e0167447, 01.12.2016.

Research output: Contribution to journalArticle

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