• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Forest Environment Monitoring Application of Intelligence Embedded based on Wireless Sensor Networks

Vol. 10, No.4, April 30, 2016
10.3837/tiis.2016.04.005, Download Paper (Free):

Abstract

For monitoring forest fires, a real-time system to prevent fires in wider areas should be supported consistently. However, there has still been a lack of the support for real-time system related to forest fire monitoring. In addition, the 'real-time' processing in a forest fire detection system can lead to excessive consumption of energy. To solve these problems, the intelligent data acquisition of sensing nodes is required, and the maximum energy savings as well as rapid and accurate detection by flame sensors need to be done. In this regard, this paper proposes a node built-in filter algorithm for intelligent data collection of sensing nodes for the rapid detection of forest fires with focus on reducing the power consumption of the remote sensing nodes and providing efficient wireless sensor network-based forest environment monitoring in terms of data transmission, network stability and data acquisition. The experimental result showed that battery life can be extended through the intelligent sampling of remote sensing nodes, and the average accuracy of the measurement of flame detection based on the distance is 44%.


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Cite this article

[IEEE Style]
Jung Hee Seo and Hung Bog Park, "Forest Environment Monitoring Application of Intelligence Embedded based on Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1555-1570, 2016. DOI: 10.3837/tiis.2016.04.005

[ACM Style]
Seo, J. H. and Park, H. B. 2016. Forest Environment Monitoring Application of Intelligence Embedded based on Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 10, 4, (2016), 1555-1570. DOI: 10.3837/tiis.2016.04.005