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Multi-sensor data fusion in cluster based wireless sensor networks using fuzzy logic method

机译:基于模糊逻辑的集群无线传感器网络中的多传感器数据融合

摘要

Wireless Sensor Network (WSN) consist of a large number of sensor nodes which are limited in battery power and communication range and are having multi-modal sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. In this paper, a multi-sensor data fusion algorithm in WSN using fuzzy logic for event detection application is proposed. In the proposed method, each sensor node is equipped with diverse sensors (temperature, humidity light, and Carbon Monoxide). The use of more than one sensor provides additional information on the environmental condition. The processing and fusion of these diverse sensor signals are carried out using proposed fuzzy rule based system. All the diverse sensor signals are collected at the cluster head and fused using fuzzy rule based method. The multiple data fusion process improves the reliability and accuracy of the sensed information and thereby minimizes the false alarm rate.
机译:无线传感器网络(WSN)由大量传感器节点组成,这些传感器节点的电池电量和通信范围受到限制,并且具有多模式传感功能。无线传感器网络最重要的应用之一是环境监视。提出了一种基于模糊逻辑的WSN多传感器数据融合算法在事件检测中的应用。在提出的方法中,每个传感器节点都配备有各种传感器(温度,湿度光和一氧化碳)。使用不止一个传感器可提供有关环境状况的其他信息。这些不同的传感器信号的处理和融合是使用提出的基于模糊规则的系统进行的。所有不同的传感器信号都在簇头处收集,并使用基于模糊规则的方法融合。多数据融合过程提高了感测信息的可靠性和准确性,从而使虚警率最小化。

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