Wireless network architecture for diagnosis and monitoring applications

Zeashan Hameed Khan; Jean Marc Thiriet; Denis Genon-Catalot

doi:10.1109/CCNC.2009.4784843

Wireless network architecture for diagnosis and monitoring applications

Zeashan Hameed Khan
, Jean Marc Thiriet
, Denis Genon-Catalot

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

16 Scopus citations

Abstract

This paper describes a distributed wireless network architecture for remote diagnosis and monitoring. A windmill farm is considered as a target application, which is further grouped into small clusters of windmills communicating with each other for the purpose of distributed diagnosis. Wireless links are commonly used for long-range communication in SCADA systems. In order to extend wireless networks for remote diagnosis applications, strict requirements on availability, robustness, reliability and performance have to be satisfied in order to meet industrial standards. This paper is intended to present a wireless network architecture for tele-operation of large industrial applications.

Original language	English
Title of host publication	2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009
Publisher	IEEE Computer Society
ISBN (Print)	9781424423095
DOIs	https://doi.org/10.1109/CCNC.2009.4784843
State	Published - 2009
Externally published	Yes
Event	6th Annual IEEE Consumer Communications and Networking Conference, CCNC 2009 - Las Vegas, NV, United States Duration: 10 Jan 2009 → 13 Jan 2009

Publication series

Name	2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009

Conference

Conference	6th Annual IEEE Consumer Communications and Networking Conference, CCNC 2009
Country/Territory	United States
City	Las Vegas, NV
Period	10/01/09 → 13/01/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Condition monitoring
Distributed diagnosis
Windmill farms
Wireless network

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/CCNC.2009.4784843

Cite this

@inproceedings{a3d35f50f15f4d5e862fcf6eb0318205,

title = "Wireless network architecture for diagnosis and monitoring applications",

abstract = "This paper describes a distributed wireless network architecture for remote diagnosis and monitoring. A windmill farm is considered as a target application, which is further grouped into small clusters of windmills communicating with each other for the purpose of distributed diagnosis. Wireless links are commonly used for long-range communication in SCADA systems. In order to extend wireless networks for remote diagnosis applications, strict requirements on availability, robustness, reliability and performance have to be satisfied in order to meet industrial standards. This paper is intended to present a wireless network architecture for tele-operation of large industrial applications.",

keywords = "Condition monitoring, Distributed diagnosis, Windmill farms, Wireless network",

author = "Khan, \{Zeashan Hameed\} and Thiriet, \{Jean Marc\} and Denis Genon-Catalot",

year = "2009",

doi = "10.1109/CCNC.2009.4784843",

language = "English",

isbn = "9781424423095",

series = "2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009",

publisher = "IEEE Computer Society",

booktitle = "2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009",

address = "United States",

note = "6th Annual IEEE Consumer Communications and Networking Conference, CCNC 2009 ; Conference date: 10-01-2009 Through 13-01-2009",

}

Khan, ZH, Thiriet, JM & Genon-Catalot, D 2009, Wireless network architecture for diagnosis and monitoring applications. in 2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009., 4784843, 2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009, IEEE Computer Society, 6th Annual IEEE Consumer Communications and Networking Conference, CCNC 2009, Las Vegas, NV, United States, 10/01/09. https://doi.org/10.1109/CCNC.2009.4784843

Wireless network architecture for diagnosis and monitoring applications. / Khan, Zeashan Hameed; Thiriet, Jean Marc; Genon-Catalot, Denis.
2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009. IEEE Computer Society, 2009. 4784843 (2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009).

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

TY - GEN

T1 - Wireless network architecture for diagnosis and monitoring applications

AU - Khan, Zeashan Hameed

AU - Thiriet, Jean Marc

AU - Genon-Catalot, Denis

PY - 2009

Y1 - 2009

N2 - This paper describes a distributed wireless network architecture for remote diagnosis and monitoring. A windmill farm is considered as a target application, which is further grouped into small clusters of windmills communicating with each other for the purpose of distributed diagnosis. Wireless links are commonly used for long-range communication in SCADA systems. In order to extend wireless networks for remote diagnosis applications, strict requirements on availability, robustness, reliability and performance have to be satisfied in order to meet industrial standards. This paper is intended to present a wireless network architecture for tele-operation of large industrial applications.

AB - This paper describes a distributed wireless network architecture for remote diagnosis and monitoring. A windmill farm is considered as a target application, which is further grouped into small clusters of windmills communicating with each other for the purpose of distributed diagnosis. Wireless links are commonly used for long-range communication in SCADA systems. In order to extend wireless networks for remote diagnosis applications, strict requirements on availability, robustness, reliability and performance have to be satisfied in order to meet industrial standards. This paper is intended to present a wireless network architecture for tele-operation of large industrial applications.

KW - Condition monitoring

KW - Distributed diagnosis

KW - Windmill farms

KW - Wireless network

UR - https://www.scopus.com/pages/publications/63749097638

U2 - 10.1109/CCNC.2009.4784843

DO - 10.1109/CCNC.2009.4784843

M3 - Conference contribution

AN - SCOPUS:63749097638

SN - 9781424423095

T3 - 2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009

BT - 2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009

PB - IEEE Computer Society

T2 - 6th Annual IEEE Consumer Communications and Networking Conference, CCNC 2009

Y2 - 10 January 2009 through 13 January 2009

ER -

Wireless network architecture for diagnosis and monitoring applications

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this