A novel method for assessing broadband state at K-12 schools

Abstract

This work presents a useful standard management tool called Broadband Condition Index (BCI), which measures WAN network condition. It is a functional indicator resulting from an analysis of different unrelated factors (such as current WAN architecture and number of users) to obtain an overview of WAN condition as a numerical value. The proposed BCI has been developed based on “knowledge-based” approach to planning and conducting many factors in real data come from more than 5000 schools and 72 District School Boards (DSBs). This knowledge was used to build a rule base system which help to estimate the training data for a Feed-Forward Neural Network (FFNN). The proposed BCI has been tested on real instances and gave the same percentage of expected results.