A fault-tolerant fast detection of abnormal event scheme for wireless sensor networks

作者：Chen Fenxiong; Shen Yaodong^*; Wang Dianhong; Peng Yueqi

来源：Journal of Computational Information Systems, 2012, 8(22): 9323-9332.

• Confidence levels
• Environmental factors
• Event detection
• Fault-tolerant
• Real-world application
• Sensor data
• Short response time
• Sliding Window
• Temporal and spatial correlation

Event detection is one of the most important applications of wireless sensor networks. In the real-world applications, sensor nodes may be invalid and work abnormally because of the impact of environmental factors or faults. As a result, sensor nodes' sensor data may be incorrect and the network may make misjudgment on events. In order to improve the reliability of event detection, a distributed fault-tolerant abnormal event detection scheme, which utilizes temporal and spatial correlation to detect and correct faults, is proposed in this paper. Confidence level of sensor nodes is used to manage and adjust sensor nodes' status, resulting in the isolation of the invalid nodes from the network and the decreasing of invalid nodes' influence on event detection. In addition, the scheme utilizes a sliding window match to detect the trends of sensor data and predict whether the nodes can detect the events to reduce the response time of event detection. Simulation results show that the proposed event detection scheme has a short response time and low false reporting rate.

• 出版日期2012