An Intelligent QoS Algorithm for Home Networks

TL;DR

This paper introduces an intelligent QoS management algorithm for home networks that uses neural network-based service prediction and profile updating to ensure reliable bandwidth allocation with low computational overhead.

Contribution

It presents a novel QoS algorithm leveraging service prediction and a new profile updating technique for efficient bandwidth management in home networks.

Findings

Provides reliable QoS management in home networks

Achieves low computational overhead

Effective in real LAN experiments

Abstract

A novel quality of service (QoS) management algorithm for home networks is presented in this letter. The algorithm is based on service prediction for intelligent QoS management. The service prediction is carried out by a general regression neural network with a profile containing the past records of the service. A novel profile updating technique is proposed so that the profile size can remain small for fast bandwidth allocation. The analytical study and experiments over real LAN reveal that the proposed algorithm provides reliable QoS management for home networks with low computational overhead.