基于感应数据值的无线传感器网络分簇算法
Readings-Based Clustering Algorithm for Wireless Sensor Networks
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摘要: 提出了一种无线传感器网络的分簇算法,用于协助基于簇的入侵检测方案检测网络中的各种恶意攻击行为.它将整个网络划分成若干个簇,使得簇内各传感器节点物理位置临近,并且采集的数据值接近.这一特性使得识别异常节点非常容易,并且保证入侵检测方案具有较高的检测精度和较低的误报率.该算法也使得网内数据处理变得异常简单,从而能够有效节省传感器节点的能量,延长网络的寿命.Abstract: This paper proposes a clustering algorithm for wireless sensor networks with the goal of helping the cluster-based intrusion detection schemes to detect malicious attackers.It partitions the whole network into a set of clusters with each cluster sensing a similar phenomenon.The sensors within the same cluster are physically close to each other.This feature insures that the intrusion detection schemes can identify anomaly nodes more easily and can achieve a lower false alarm rate and a higher detection accuracy rate than the existing detection schemes.At the same time,it can also make innetwork processing simpler,so it can reduce the node's power consumption and prolong the network lifetime.