Trust-based Cluster head validation and outlier detection technique for Mobile Wireless Sensor Networks

In this paper, we have proposed an efficient cluster based fault detection and recovery in MWSN. If the Cluster head (CH) turns to be a selfish or malicious node, then the system will fail to detect the fault and the subsequent recovery process. Hence identifying selfish or misbehaving CH is essential. At the same time, identifying faulty data from sensors is another important issue in data gathering. Thus in the proposed work, we design a trust based cluster head validation scheme along with false data identification. Our proposed technique is named Trust-based Cluster head Validation and Outlier Detection Technique for Mobile Wireless Sensor Networks (TCVOD). At first, the cumulative trust of each cluster head is evaluated and the malicious cluster-heads are detected and replaced. For false data identification, the consistency value of each sensor node is evaluated and then the outliers are detected and eliminated.