Research Article

A Novel Machine Language-Driven Data Aggregation Approach to Predict Data Redundancy in IoT-Connected Wireless Sensor Networks

Table 6

Specificity (%).

Time stamp12345678910Average

EEDP [5]96.31397.831196.970996.90996.232896.052697.971496.045696.0298.008996.8355
IDAD2DC [7]94.0195.056593.421395.343295.304795.374594.344994.883394.132295.865794.7736
READP [12]96.413194.852596.079296.200596.645796.045495.087296.744296.893894.616295.9578
SDNAELWA [8]96.020495.720295.411796.134896.046695.760895.518396.971596.621697.175696.1382
MLELMAKF97.646497.506697.420197.353198.040497.502297.968498.436297.325597.426297.6625