Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18559
Title: Cross-layer optimization for state update in mobile gaming
Authors: Yu, Y
Li, Z
Shi, L
Chen, EYC
Xu, H
Issue Date: 2008
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on multimedia, 2008, v. 10, no. 5, p. 701-710 How to cite?
Journal: IEEE transactions on multimedia 
Abstract: In a large-scale mobile gaming environment with limited wireless network bandwidth, efficient mechanisms for state update are crucial to allow graceful real-time interaction for a large number of players. By using the state updating threshold as a key parameter that bridges the resulting state distortion and the network traffic, we are able to study the fundamental traffic-distortion tradeoffs via both theoretical modeling and numerical analysis using real game traces. We consider a WiMAX link model, where the bandwidth allocation is driven by the underlying physical layer link quality as well as application layer gaming behaviors. Such a cross-layer optimization problem can be solved using standard convex programming techniques. By exploring the temporal locality of gaming behavior, we also propose a prediction method for on-line bandwidth adaptation. Using real data traces from a multiplayer driving game, TORCS, the proposed network-aware bandwidth allocation method (NABA) is able to achieve significant reduction in state distortion compared to two baselines: uniform and proportional policies.
URI: http://hdl.handle.net/10397/18559
ISSN: 1520-9210
EISSN: 1941-0077
DOI: 10.1109/TMM.2008.922777
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