An improved adaptive ACO meta heuristic for scheduling multimedia traffic across the 802.11e EDCA

Michael Ditze; Markus Becker

doi:10.1117/12.775137

28 January 2008 An improved adaptive ACO meta heuristic for scheduling multimedia traffic across the 802.11e EDCA

Michael Ditze, Markus Becker

Proceedings Volume 6818, Multimedia Computing and Networking 2008; 68180L (2008) https://doi.org/10.1117/12.775137
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper presents an adaptive near-optimal scheduler for multimedia traffic for the 802.11e Enhanced Distributed Channel Access (EDCA) medium access control scheme. The scheduler exploits the ant colony optimization (ACO) meta heuristic to tackle the challenge of packet scheduling. ACO is a biologically inspired algorithm that is known to find near-optimal solutions for combinatorial optimization problems. Thus, we expect that ACO scheduling produces more efficient schedules than comparable deterministic scheduling approaches at the expenses of a computational overhead it introduces. We compare ACO scheduling relevant deterministic scheduling approaches, and in particular the MLLF scheduler that is specifically designed for the needs of compressed multimedia applications. The purpose of the evaluation is twofold. It allows to draw conclusions on the feasibility of ACO scheduling for multimedia traffic while it serves as a benchmark to determine to what extent deterministic schedulers fall short of a near-optimal solution.

Citation Download Citation

Michael Ditze and Markus Becker "An improved adaptive ACO meta heuristic for scheduling multimedia traffic across the 802.11e EDCA", Proc. SPIE 6818, Multimedia Computing and Networking 2008, 68180L (28 January 2008); https://doi.org/10.1117/12.775137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available