Department of Computer Engineering, Hongik University, 72-1 Sangsu-Dong, Mapo-Gu, Seoul, Korea.
Sensors (Basel). 2010;10(3):2332-47. doi: 10.3390/s100302332. Epub 2010 Mar 19.
In this paper, we present an adaptive fault-tolerant event detection scheme for wireless sensor networks. Each sensor node detects an event locally in a distributed manner by using the sensor readings of its neighboring nodes. Confidence levels of sensor nodes are used to dynamically adjust the threshold for decision making, resulting in consistent performance even with increasing number of faulty nodes. In addition, the scheme employs a moving average filter to tolerate most transient faults in sensor readings, reducing the effective fault probability. Only three bits of data are exchanged to reduce the communication overhead in detecting events. Simulation results show that event detection accuracy and false alarm rate are kept very high and low, respectively, even in the case where 50% of the sensor nodes are faulty.
在本文中，我们提出了一种用于无线传感器网络的自适应容错事件检测方案。每个传感器节点通过使用其邻居节点的传感器读数以分布式方式本地检测事件。传感器节点的置信度水平用于动态调整决策的阈值，从而即使在存在越来越多的故障节点的情况下也能保持一致的性能。此外，该方案采用移动平均滤波器来容忍传感器读数中的大多数瞬态故障，从而降低有效故障概率。仅交换三个数据位即可减少检测事件的通信开销。仿真结果表明，即使在 50%的传感器节点发生故障的情况下，事件检测的准确性和误报率也分别保持非常高和低。
