Clustering Based Data Collection using Data Fusion in Wireless Sensor Networks

Provided by: International Journal of Computer Applications
Topic: Mobility
Format: PDF
Clustering is one of the important techniques in Wireless Sensor Networks (WSNs). In this paper, introduce Double Cluster Head Model (DCHM) for secure and accurate data fusion in WSNs. Data fusion is used to reduce the traffic load and conserves energy of the sensors. In this clustering technique each cluster has two Cluster Heads (CHs) and they are assuming to be trust. After clustering each sensor nodes needs to maintain a reputation and trust table which is used to find the compromised nodes. Each CH perform the data fusion process independently and its sends the fused data to the base station.

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