Adaptive Power-Saving Mechanism for VoIP Over WiMAX Based on Artificial Neural Network

Adaptive Power-Saving Mechanism for VoIP Over WiMAX Based on Artificial Neural Network

Tamer Emara (Shenzhen University, China)
DOI: 10.4018/978-1-5225-5693-0.ch007

Abstract

The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapter proposes a power conservation algorithm based on artificial neural network (ANN-VPSM) that can be applied to VoIP service over WiMAX systems. Artificial intelligent model using feed forward neural network with a single hidden layer has been developed to predict the mutual silent period that used to determine the sleep period for power saving class mode in IEEE 802.16. From the implication of the findings, ANN-VPSM reduces the power consumption during VoIP calls with respect to the quality of services (QoS). Experimental results depict the significant advantages of ANN-VPSM in terms of power saving and quality-of-service (QoS). It shows the power consumed in the mobile station can be reduced up to 3.7% with respect to VoIP quality.
Chapter Preview
Top

WiMAX (IEEE 802.16e) introduces three types of PSCs suitable to several applications that produce different traffic characteristics (IEEE, 2006). There are various QoS requirements, for various types of connections between MS and BS. Subsequently, various connections are classified into varied PSCs to achieve their requirements of QoS.

Complete Chapter List

Search this Book:
Reset