The dataset used is divided into two parts, one for the training and the other for testing the model. The implemented Multinomial Naïve Bayes classifier model has achieved 98% accuracy in classifying the content names. After that, the RADC strategy is evaluated through ndnSIM [22], which ...
wireless sensor network; routing protocol; clustering; energy consumption optimization; channel model; naïve Bayes1. Introduction A wireless sensor network (WSN) is a multi-hop self-organizing network composed of a large number of microsensors with a dynamic topology. Data gathering and transmission...
In the supervised classification area, the algorithm selection problem (ASP) refers to determining the a priori performance of a given classifier in some specific problem, as well as the finding of which is the most suitable classifier for some tasks. Re