Meta-heuristic VOIP Stream Aggregation with Abnormality Aware Traffic Inflow Evaluation

Abstract

The voice over IP models are growing rapidly as they cost far less than the traditional voice phone networks.  The VOIP network utilizes the internet service-based IP network for the transfer of the voice data between the two destinations, which connects the various companies across the globe with far less expense. In this paper, the major focus has been kept at the aggregation of the voice data over the major controller switches in the IP network. The aggregation module utilizes the meta-heuristic voice streams for the preparation of the single aggregated stream. Also, the proposed model aims at the security level of the aggregation by minimizing the abnormalities tracked by using the concept of the higher and lower thresholds, which empowers the proposed model for the secure propagation of the voice data. The experimental results show the higher accuracy and significance of the proposed model in the terms of aggregation model and higher security.