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http://dx.doi.org/10.3837/tiis.2016.04.005

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

Seo, Jung Hee (Department of Computer Engineering, Tongmyong University)
Park, Hung Bog (Department of Computer Engineering, Pukyong National University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.4, 2016 , pp. 1555-1570 More about this Journal
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%.
Keywords
Wireless Sensor Network; Monitoring; Forest Fires; Wireless Sensing Node;
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Times Cited By KSCI : 3  (Citation Analysis)
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