关键词: 无线传感器网络, 支持向量机回归, 信誉度, 故障检测

Abstract:

The main role of wireless sensor networks is to collect environmental data. As for the sensor nodes are vulnerable and work in unpredictable environments, the sensors are possible out off work and return to unexpected response. Therefore, fault detection is important in wireless sensor networks. The authors propose a fault detection algorithm based on support vector regression, which predicts the measurements of sensor nodes by using historical data. Credit levels of sensor nodes will be determined by a contrast between predictions and actual measured values. Then the dependable data set which is constructed by high credit level measurements will be used to detect sensor faults. Simulations demonstrate that the algorithm works very well in conserving energy and raising failure detection rate.

Key words: wireless sensor network, support vector regression, credibility level, fault detection