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Spatio-Temporal Forest Fire Detection using a Distributed Hierarchical Graph Neuron within an Integrated Wireless Sensor Network-Grid Environment

Muhamad Amin , Anang Hudaya and Khan, Asad I. (2011) Spatio-Temporal Forest Fire Detection using a Distributed Hierarchical Graph Neuron within an Integrated Wireless Sensor Network-Grid Environment. In: The Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011 (PARENG 2011), 12-15 April 2011, Ajaccio, Corsica, France.

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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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:5727
Deposited By: Dr. Anang Hudaya Muhamad Amin
Deposited On:12 Jun 2011 04:52
Last Modified:19 Jan 2017 08:23

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