ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
An ACO-Based Approach for Scheduling Task Graphs with Communication Costs
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
A controlled-access scheduling mechanism for QoS provisioning in IEEE 802.11e wireless LANs
Proceedings of the 1st ACM international workshop on Quality of service & security in wireless and mobile networks
Scheduling MPEG-4 video streams through the 802.11e enhanced distributed channel access
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part II
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Cyber Biosphere for Future Embedded Systems
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
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The transmission of time-sensitive multimedia traffic across unreliable wireless network links requires adaptive scheduling that respects substantial resource fluctuations and irregular traffic arrival patterns. As finding a near-optimal adaptive transmission schedule, in our case for the prioritized access categories of the 802.11e Enhanced Distributed Channel Access (EDCA), is a combinatorial optimization problem, we introduce an Ant Colony Optimization (ACO) based meta heuristic for scheduling multimedia traffic. ACO is known to develop near-optimal solutions at the expenses of additional administrative and computational overhead. We compare ACO scheduling to a deterministic scheduling approach specifically designed for the needs of multimedia scheduling called MLLF. The aim of this paper is to evaluate the feasibility of ACO approaches for multimedia scheduling in different scenarios and to conclude on the effectiveness of the selected deterministic MLLF approach in comparison to a near-optimal solution.