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An Intelligent Fog Centric Network f...

ProQuest Information and Learning Co.

An Intelligent Fog Centric Network for IoT-Driven Smart Communities.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	An Intelligent Fog Centric Network for IoT-Driven Smart Communities./
Author:	Constant, Nicholas.
Description:	1 online resource (70 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355148985

An Intelligent Fog Centric Network for IoT-Driven Smart Communities.
Constant, Nicholas.

An Intelligent Fog Centric Network for IoT-Driven Smart Communities. - 1 online resource (70 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.)--University of Rhode Island, 2017.

Includes bibliographical references

Varieties of sensors and devices developed with the intention of increasing the understanding the environment in which it is deployed is becoming a trend that continuously floods cloud data centers at a rapid rate. This creates a need for the cloud to move closer to the user. Therefore, the paradigm of fog computing is increasingly identified as a useful tool to establish remote intelligence in the context to internet-of-things (IoT). In this paper, we discuss our recent development of a smart fog gateway and its role in orchestrating the process of data acquisition, conditioning, analysis, and storage. The paper also includes a performance evaluation of a couple fog testbed consisting of different embedded computing architectures including Intel Edison and Raspberry Pi to tackle sensor data. This will be followed by a use case within a manufacturing facility. The results demonstrate that the fog gateway provides a promise to transform the interactions among the general purpose sensing devices, smartphones, and the cloud.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355148985Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

An Intelligent Fog Centric Network for IoT-Driven Smart Communities.
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245 1 3 $a An Intelligent Fog Centric Network for IoT-Driven Smart Communities.
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300 $a 1 online resource (70 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 56-06.
500 $a Advisers: Kunal Mankodiya; Bin Li.
502 $a Thesis (M.S.)--University of Rhode Island, 2017.
504 $a Includes bibliographical references
520 $a Varieties of sensors and devices developed with the intention of increasing the understanding the environment in which it is deployed is becoming a trend that continuously floods cloud data centers at a rapid rate. This creates a need for the cloud to move closer to the user. Therefore, the paradigm of fog computing is increasingly identified as a useful tool to establish remote intelligence in the context to internet-of-things (IoT). In this paper, we discuss our recent development of a smart fog gateway and its role in orchestrating the process of data acquisition, conditioning, analysis, and storage. The paper also includes a performance evaluation of a couple fog testbed consisting of different embedded computing architectures including Intel Edison and Raspberry Pi to tackle sensor data. This will be followed by a use case within a manufacturing facility. The results demonstrate that the fog gateway provides a promise to transform the interactions among the general purpose sensing devices, smartphones, and the cloud.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Rhode Island. $b Electrical Engineering. $3 1148575
773 0 $t Masters Abstracts International $g 56-06(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10257520 $z click for full text (PQDT)

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