Clustering based Data Collection using Data Fusion in Wireless Sensor Networks

Abstract

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. In this base station dissimilarity coefficient is computed and compared with threshold value which is preset by the users. If the dissimilarity coefficient exceeds the threshold, the CHs will be added to blacklist, and the CHs must be reelected by the sensor nodes in a cluster. And also feedback is sent from the base station to the reputation and trust system, which can helps to identify and delete the compromised sensor nodes. Through a series of extensive simulations, it can found that the DCHM performed very well in data fusion security and accuracy.

A Review on Distributed Topology Control Techniques for Energy Efficient Cluster based Protocols for WSN

“…10) Security: In this type of network there is a automatic configuration of the network resources. So that system automatically configure and there will be less chances of the system failure [4].…”

“…reduces the communication traffic between sink nodes and the monitoring center, , the incident identification accuracy is improved in D-S evidence theory recognition framework. Clustering based S.G. Santhi(2015) In this paper DCHM used for objective of future secure and IV. CONCLUSION Various researches are being held by the researchers for making protocol level efficiencies.…”

Investigation on Energy Based Data Gathering Approach for WSN

“…The selection of cluster heads is predicted in their residual energy with the shortest distance. Santhi and Ramya [17] proposed the Double Cluster Head Model (DCHM) for secure data collection in WSNs. The fusion of information is integrated to divide the traffic during energy conservation period.…”

Method of Wireless Sensor Network Data Fusion

“…Under certain criteria, computer technology is used to automatically analyze the observations of a number of sensors obtained by time series [4]. This information process is carried out after optimization and synthesis to complete the required decision-making and estimation tasks [5]. Sensors are the basis of information fusion.…”