kumoh national institute of technology
Networked Systems Lab.

Ty-Phu Pham and Dong-Seong Kim, Fault detection approach in Wireless Sensor Networks using Support Vector Machine Algorithm, International Conference on Control, Automation and Systems (ICCAS) 2017, Jeju, Korea, October 18-21, 2017 (Pr)
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Date : 2017-04-11
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The Wireless Sensor Networks (WSNs) have been deployed in many applications of daily life. Sensors in networks can be located in extreme environments or even the replacement is impossible. Therefore, it is necessary to design the high-quality transmission system. The fault management plays a key role in this system. Many studies in this area have approached the difference methods for fault diagnosis. Machine learning algorithms also have been deployed to manage and detect fault in WSNs. In this paper, we propose the fault detection for WSNs using the Support Machine Learning (SVM) algorithm.