Difference between revisions of "Private:energySaving"
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2. Improve algorithm from linear model to exponential curve. <br/> | 2. Improve algorithm from linear model to exponential curve. <br/> | ||
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- compare performance between existing solutions, linear, and exponential model. | - compare performance between existing solutions, linear, and exponential model. | ||
Revision as of 07:19, 2 March 2010
Outline of our research direction
1. Investigate impact on gaming quality
- specifically analyze the trade-off between energy savings and gaming quality.
- find paper to model gaming quality.
2. Improve algorithm from linear model to exponential curve.
- compare performance between existing solutions, linear, and exponential model.
3. Expand simulation/implementation to different games.
- find reference to prove DR is used in practice.
- Show that our solution is game independent
4. Expand analysis to include a global view.
- mathematical model
5. Performance metric in terms of bandwidth savings, can be calculated from a global view perspective.
6. Solve receiving mode problems. Use PSM for AP mode, and rotating host algorithm for ad-hoc.
7. Additional ideas: slow down the game to xx fps to allow the game to sleep longer. Without affecting gaming quality.
8. Investigate energy constraints for nodes with and without our energy savings algorithm.
- fairness in game play/quality.
- have nodes without energy constraints do more work
9. Continue to be vague regarding the specific wireless standard. ie. we don't target WiFi or 3G. Instead, we let the reader decide.
10. Discover if there is any periodicity of the data and use this to help determine sleep cycles
11. Provide strong evidence that our solution helps
