Mobile traffic clusters analysis using Within Cluster Sum of Squares optimization

Abstract

The increasing utilization of mobiles, encompassing 4G and 5G technologies, generates a substantial accumulation of data within the cellular network. Proper management of resources is vital to provide service without any interruption to customers with cost effectiveness. In this regard, one of the major challenges is the detection of the cellular traffic caused due to various mobile phone activities like in-out calls, in-out Short Message Service (SMS), internet activity etc. In the proposed work, mobile traffic clusters are detected using Within Cluster Sum of Squares optimization method. Firstly, unprocessed Call Detail Record (CDR) is to be converted into a structured format. Next, Within Cluster Sum of Squares (WCSS) optimization method identifies both high-volume and low-volume traffic clusters in the mobile network. Finally, the work is verified using arm method subsequent the formation of the clusters.