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

EURASIP Journal on Wireless Communications and Networking

Table 2 Summary of the effects of training accuracy of different fault types

	Data-loss fault			Hardware fault			Drift fault			Gain fault
Node ID	TPR (%)	DA (%)	FPR (%)	TPR (%)	DA (%)	FPR (%)	TPR (%)	DA (%)	FPR (%)	TPR (%)	DA (%)	FPR (%)
001	86.5	89	26	86.5	99	32	86.5	87	32	86.5	92	28
002	83.5	88	32	83.5	98	37	83.5	84	31	83.5	90	32
030	85.2	90	24	85.2	89	34	85.2	85	34	85.2	92	34
034	86.3	93	31	86.3	93	34	86.3	86	31	86.3	93	31
050	84.5	87	30	84.5	97	36	84.5	85	30	84.5	87	30
056	86.1	86	22	86.1	96	32	86.1	86	32	86.1	91	32
070	85.2	89	34	81.8	89	34	85.1	85	36	83.5	89	26
078	86.3	88	31	84.9	89	35	97.3	97	32	85.2	88	32
099	87.0	91	30	84.1	88	35	86.1	89	34	86.3	85	34
AVG	85.6	88.9	28.9	84.8	93.1	34.3	86.7	87.1	32.4	85.2	89.6	31.0