%C Ajaccio, Corsica
%I Civil-Comp Press
%V 95
%A A.H. Muhamad Amin
%A A.I. Khan
%T Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment
%K Cloud computing; Deforestation; Fire detectors; Fires; Grid computing; Neurons; Pattern recognition; Structural health monitoring, Critical applications; Event detection; Event tracking; Forest fire detection; Hierarchical graphs; Integrated wireless sensor; Spatio-temporal events; Structural health monitoring (SHM), Wireless sensor networks
%X 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. © Civil-Comp Press, 2011.
%D 2011
%J Civil-Comp Proceedings
%L scholars2293
%O cited By 0; Conference of 2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, PARENG 2011 ; Conference Date: 12 April 2011 Through 15 April 2011; Conference Code:102667