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中文摘要：
针对传感器网络中事件识别存在的误判问题,提出一种新的多传感器融合事件识别算法。算法通过对网络中产生的事件识别数据,进行统一的变换处理,建立可实时更新的基于概率的事件识别规则。算法有效提高了事件识别的成功率,利用实测数据进行仿真试验,验证了算法的有效性。
英文摘要：
To solve the misjudgmentproblem of event detection in sensor networks,this paper proposesd an event detection algorithm based on multi-sensor data fusion.The algorithm was based on the event detection data in the network,transformed the sensors＇ outputs into binary values,and obtainsed the classification rules based on probability which could be updated online.The algorithm effectively improves the accuracy of event detection.This paper uses real data to do the simulation,verifies the effectiveness of the algorithm.
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