Optimal JPWL Forward Error Correction Rate Allocation for Robust JPEG 2000 Images and Video Streaming over Mobile Ad Hoc Networks

Max Agueh; Jean-François Diouris; Magaye Diop; François-Olivier Devaux; Christophe De Vleeschouwer; Benoit Macq

doi:10.1155/2008/192984

Research Article
Open Access

Optimal JPWL Forward Error Correction Rate Allocation for Robust JPEG 2000 Images and Video Streaming over Mobile Ad Hoc Networks

Max Agueh¹Email author,
Jean-François Diouris¹,
Magaye Diop²,
François-Olivier Devaux³,
Christophe De Vleeschouwer³ and
Benoit Macq³

EURASIP Journal on Advances in Signal Processing20082008:192984

https://doi.org/10.1155/2008/192984

Received: 1 October 2007
Accepted: 26 April 2008
Published: 21 May 2008

Abstract

Based on the analysis of real mobile ad hoc network (MANET) traces, we derive in this paper an optimal wireless JPEG 2000 compliant forward error correction (FEC) rate allocation scheme for a robust streaming of images and videos over MANET. The packet-based proposed scheme has a low complexity and is compliant to JPWL, the 11th part of the JPEG 2000 standard. The effectiveness of the proposed method is evaluated using a wireless Motion JPEG 2000 client/server application; and the ability of the optimal scheme to guarantee quality of service (QoS) to wireless clients is demonstrated.

Keywords

Optimal Scheme
Quantum Information
Allocation Scheme
Correction Rate
Video Streaming

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Authors’ Affiliations

(1)

Institut de Recherche en Electrotechnique et Electronique de Nantes Atlantique (IREENA), Equipe Communications Numériques et Radiofréquences, Rue Christian Pauc, La chantrerie, BP 50609, 44306 Nantes cedex 3, France

(2)

Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar (UCAD), BP 5085, Dakar, Senegal

(3)

Communications and Remote Sensing Laboratory, FSA/TELE, Bâtiment Stévin, Place du Levant 2, B-1348 Louvain-la-Neuve, Belgium

Copyright

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.