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Fig. 1 | EURASIP Journal on Wireless Communications and Networking

Fig. 1

From: Identifying correctness data scheme for aggregating data in cluster heads of wireless sensor network based on naive Bayes classification

Fig. 1

A clustering scheme of a wireless sensor network. The clustering in WSN composes Node members (NM) and Cluster head (CH). CH is selected from among NM. The functions of CHs are not only to collect the information from the NM but also to aggregate captured data that forwarded to the BS. Clustering provides various advantages like energy efficiency, prolonging lifetime, scalability, and less delay. However, the clustered WSNs also have got the drawback such as the aggregated data fault problem at CHs that caused the network reliability of the monitoring, and predicting applications decreased.

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