Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment

A. H. Muhamad Amin; A. I. Khan

doi:10.4203/ccp.95.50

Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment

A. H. Muhamad Amin, A. I. Khan

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

Abstract

Critical applications in the engineering and scientific area such as Structural Health Monitoring (SHM) and forest fire detection requires active detection mechanisms, which utilise current technology such as Wireless Sensor Network (WSN). Nevertheless, existing event detection applications implemented on WSN are far from achieving its fullest potential. In this paper, we propose a distributed intelligent event detection scheme known as Distributed Hierarchical Graph Neuron (DHGN) that performs pattern recognition on spatio-temporal sensory data within an integrated WSN-Grid environment. Fire detection data is analysed over a simulated WSN network. The results indicate that DHGN produces high recognition accuracy and is capable of performing spatio-temporal event tracking within specified locations and time instances.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011)
Editors	P. Iványi, B.H.V. Topping
Place of Publication	Stirlingshire, UK
Publisher	Civil-Comp Press
Number of pages	20
Volume	95
ISBN (Electronic)	9781905088430, 9781905088447
ISBN (Print)	9781905088423
DOIs	https://doi.org/10.4203/ccp.95.50
Publication status	Published - 2011
Event	International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011 - Ajaccio, Corsica, France Duration: 12 Apr 2011 → 15 Apr 2011 Conference number: 2nd

Conference

Conference	International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011
Abbreviated title	PARENG 2011
Country/Territory	France
City	Ajaccio, Corsica
Period	12/04/11 → 15/04/11

Keywords

Distributed hierarchical graph neuron
Event detection
Event tracking
Grid computing
Pattern recognition
Wireless sensor network

Access to Document

10.4203/ccp.95.50

Cite this

Muhamad Amin, A. H., & Khan, A. I. (2011). Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. In P. Iványi, & B. H. V. Topping (Eds.), Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011) (Vol. 95). Civil-Comp Press. https://doi.org/10.4203/ccp.95.50

Muhamad Amin, A. H. ; Khan, A. I. / Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011). editor / P. Iványi ; B.H.V. Topping. Vol. 95 Stirlingshire, UK : Civil-Comp Press, 2011.

@inproceedings{bda99321f9f1400db380f4c173b457c0,

title = "Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment",

abstract = "Critical applications in the engineering and scientific area such as Structural Health Monitoring (SHM) and forest fire detection requires active detection mechanisms, which utilise current technology such as Wireless Sensor Network (WSN). Nevertheless, existing event detection applications implemented on WSN are far from achieving its fullest potential. In this paper, we propose a distributed intelligent event detection scheme known as Distributed Hierarchical Graph Neuron (DHGN) that performs pattern recognition on spatio-temporal sensory data within an integrated WSN-Grid environment. Fire detection data is analysed over a simulated WSN network. The results indicate that DHGN produces high recognition accuracy and is capable of performing spatio-temporal event tracking within specified locations and time instances.",

keywords = "Distributed hierarchical graph neuron, Event detection, Event tracking, Grid computing, Pattern recognition, Wireless sensor network",

author = "{Muhamad Amin}, {A. H.} and Khan, {A. I.}",

note = "From proceedings ~ Paper 50; Preface: This volume comprises the summaries of contributed papers presented at The Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011) held in Ajaccio, Corsica, France, 12-15 April 2011. The full papers from the conference are available on the accompanying CD-ROM.; International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011, PARENG 2011 ; Conference date: 12-04-2011 Through 15-04-2011",

year = "2011",

doi = "10.4203/ccp.95.50",

language = "English",

isbn = "9781905088423",

volume = "95",

editor = "P. Iv{\'a}nyi and Topping, {B.H.V. }",

booktitle = "Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011)",

publisher = "Civil-Comp Press",

address = "United Kingdom",

}

Muhamad Amin, AH & Khan, AI 2011, Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. in P Iványi & BHV Topping (eds), Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011). vol. 95, Civil-Comp Press, Stirlingshire, UK, International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011, Ajaccio, Corsica, France, 12/04/11. https://doi.org/10.4203/ccp.95.50

Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. / Muhamad Amin, A. H.; Khan, A. I.

Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011). ed. / P. Iványi; B.H.V. Topping. Vol. 95 Stirlingshire, UK : Civil-Comp Press, 2011.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

TY - GEN

T1 - Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment

AU - Muhamad Amin, A. H.

AU - Khan, A. I.

N1 - Conference code: 2nd

PY - 2011

Y1 - 2011

N2 - Critical applications in the engineering and scientific area such as Structural Health Monitoring (SHM) and forest fire detection requires active detection mechanisms, which utilise current technology such as Wireless Sensor Network (WSN). Nevertheless, existing event detection applications implemented on WSN are far from achieving its fullest potential. In this paper, we propose a distributed intelligent event detection scheme known as Distributed Hierarchical Graph Neuron (DHGN) that performs pattern recognition on spatio-temporal sensory data within an integrated WSN-Grid environment. Fire detection data is analysed over a simulated WSN network. The results indicate that DHGN produces high recognition accuracy and is capable of performing spatio-temporal event tracking within specified locations and time instances.

AB - Critical applications in the engineering and scientific area such as Structural Health Monitoring (SHM) and forest fire detection requires active detection mechanisms, which utilise current technology such as Wireless Sensor Network (WSN). Nevertheless, existing event detection applications implemented on WSN are far from achieving its fullest potential. In this paper, we propose a distributed intelligent event detection scheme known as Distributed Hierarchical Graph Neuron (DHGN) that performs pattern recognition on spatio-temporal sensory data within an integrated WSN-Grid environment. Fire detection data is analysed over a simulated WSN network. The results indicate that DHGN produces high recognition accuracy and is capable of performing spatio-temporal event tracking within specified locations and time instances.

KW - Distributed hierarchical graph neuron

KW - Event detection

KW - Event tracking

KW - Grid computing

KW - Pattern recognition

KW - Wireless sensor network

UR - http://www.scopus.com/inward/record.url?scp=84894161945&partnerID=8YFLogxK

U2 - 10.4203/ccp.95.50

DO - 10.4203/ccp.95.50

M3 - Conference Paper

AN - SCOPUS:84894161945

SN - 9781905088423

VL - 95

BT - Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011)

A2 - Iványi, P.

A2 - Topping, B.H.V.

PB - Civil-Comp Press

CY - Stirlingshire, UK

T2 - International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011

Y2 - 12 April 2011 through 15 April 2011

ER -

Muhamad Amin AH, Khan AI. Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. In Iványi P, Topping BHV, editors, Proceedings of the 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG 2011). Vol. 95. Stirlingshire, UK: Civil-Comp Press. 2011 https://doi.org/10.4203/ccp.95.50

Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this