Delivering Quality Of Services For Media Streaming Networks

Table of Contents

Abstract

I. INTRODUCTION

II. RELATED WORK

A. Review Stage

B. Challenges

III. QASAN Architecture

.A. QASAN Group Create / Modify

B. Route Discovery

C. Routing Table Update

D. Alternate Route on Repair

E. Route Deletion

IV. QASAN Policy Manager (OPTIQ_Policy)

V. QoS Simulation Evaluation Metrics

A. Capacity estimation

B. Delay estimation

C. Admission control and resource reservation

VI. Experimental Test Bed Preparation

A. Hardware Setup Used

B. Performance & Evaluation

VII. Summary

Objectives and Research Focus

This paper presents the QASAN (Quality of Services for Media Streaming in Group Communication Over Mobile Ad Hoc Networks) scheme, which addresses the challenges of providing reliable end-to-end Quality of Service (QoS) for multimedia streaming in highly dynamic ad hoc environments.

• Development of a QoS-aware multicasting strategy for ad hoc networks.
• Implementation of the OptiQ_Policy algorithm for optimal resource tracking and reservation.
• Identification of an integrated approach for route discovery and bandwidth provisioning.
• Performance evaluation through a functional prototype in comparison with AODV and TORA protocols.

Excerpt from the Book

Summary of Chapters

Abstract: Provides an overview of the challenges in deploying end-to-end QoS for media streaming in ad hoc networks and introduces the QASAN scheme.

I. INTRODUCTION: Discusses the requirements for QoS in ad hoc networks, defining the objectives of QASAN and the importance of optimal QoS routing decisions.

II. RELATED WORK: Reviews existing multimedia transmission approaches, degradation mechanisms, and highlights the specific challenges addressed by QASAN.

III. QASAN Architecture: Details the multi-cast request and reply query process, including group creation, route discovery, and session maintenance.

IV. QASAN Policy Manager (OPTIQ_Policy): Explains the algorithm used to monitor and negotiate optimal QoS parameters such as bandwidth, delay, and packet loss.

V. QoS Simulation Evaluation Metrics: Defines evaluation metrics for ad hoc protocols, specifically introducing Bandwidth Efficiency Ratio (BWER) and Normalized Overhead Load (NOL).

VI. Experimental Test Bed Preparation: Describes the hardware setup and traffic generation parameters used to evaluate the QASAN model.

VII. Summary: Concludes that QASAN outperforms traditional protocols like AODV and TORA in specific mobility scenarios by offering a source-initiated, on-demand QoS scheme.

Keywords

Quality of Service, Media Streaming, Mobile Ad Hoc Networks, Group Communication, QASAN, Multicasting, OptiQ_Policy, Bandwidth Estimation, Route Discovery, Admission Control, Network Topology, QoS Routing, Ad Hoc Wireless Network, Performance Evaluation

Frequently Asked Questions

What is the primary purpose of this research?

The paper aims to develop a specialized QoS strategy called QASAN to support media streaming in ad hoc networks, where traditional routing protocols often fail to provide consistent service quality.

What are the main components of the QASAN architecture?

The architecture integrates on-demand route discovery, signaling functions for resource reservation, and an optimal path selection mechanism to maintain group communication sessions.

What is the significance of the OptiQ_Policy algorithm?

OptiQ_Policy is the core module that tracks resource availability in a node's neighborhood and negotiates parameters like bandwidth and delay to ensure session-specific QoS requirements are met.

How is network performance measured in this study?

Performance is measured using specific metrics including the Bandwidth Efficiency Ratio (BWER), Normalized Overhead Load (NOL), and packet delay, tested against established protocols like AODV and TORA.

What hardware was used for testing?

The researchers used a test bed consisting of 40 laptops running Linux, equipped with wireless cards, configured to act as nodes in a controlled ad hoc environment.

Which protocols is QASAN compared against?

QASAN is compared against QoS-aware versions of the AODV and TORA routing protocols to demonstrate its efficiency in managing bandwidth and routing overhead.

How does the "Node Associativity" process function?

Node Associativity measures the stability of links between nodes over time and space, using beacon signals to determine the most reliable route based on connectivity and battery life.

What happens when a link breaks in a QASAN network?

The protocol performs a localized, real-time partial route repair by selecting an alternative route, which avoids the need for a global route discovery process and reduces signaling overhead.