Private:energySaving

Outline of our research direction

Investigate impact on gaming quality

- specifically analyze the trade-off between energy savings and gaming quality.
- find paper to model gaming quality.

Improve algorithm from linear model to exponential curve.

- compare performance between existing solutions, linear, and exponential model.

Expand simulation/implementation to different games.

- find reference to prove DR is used in practice.
- Show that our solution is game independent

Expand analysis to include a global view.

- mathematical model -Performance metric in terms of bandwidth savings, can be calculated from a global view perspective.

Solve receiving mode problems

- Use PSM for AP mode, and rotating host algorithm for ad-hoc. - Please see Yi's thesis work.

Additional Ideas

- slow down the game to XX fps to allow the game to sleep longer. Without affecting gaming quality. - see Claypool's papers regarding frame rates and gaming quality.

Energy Savings Overhead

- 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

Other Notes

- Continue to be vague regarding the specific wireless standard. ie. we don't target WiFi or 3G. Instead, we let the reader decide. - Discover if there is any periodicity of the data and use this to help determine sleep cycles - Provide strong evidence that our solution helps

To Do's

1. Address the items above ^
2. Simulate energy savings using Carson's GLS simulator, please talk to Cameron.
   • We have also modified the GLS code to replay latency traces. Please read our IRS MM'10 paper.
3. Implement the algorithm into BZFlag.
   • Play a LAN game setup (2 or 3 players) to test the algorithm in energy savings mode
   • Play over the Internet against other players to test algorithm in a mixed environment (with nodes without energy savings)
   • Play over a wireless connection with PSM mode enabled (must use an AP)
   • Play over an Ad-Hoc network setup.
4. If possible, find an Android open source game and implement the algorithm.
5. Publish many papers :)

Other ideas

• If DR is not feasible, most of the items above can be applied to other type of games that does not use DR. Such as:
  • Turn-based games (very long silent period)
  • Real-time strategy (RTS) games,
  • Simulation games
  • MMORPG games (World of Warcraft client will soon be available on the Apple iPad)
  • Virtual Reality, such as Second Life.

References

Please check these references.

• Game Action Based Power Management for Multiplayer Online Game, Anand et al.
• Experiences from Implementing a Mobile Multiplayer Real-Time Game for Wireless Networks with High Latency, Wang et al.
• Games are Up for DVFS, Gu et al.
• Fairness in Dead-Reckoning based Distributed Multiplayer Games, Aggarwal et al.
• A Distributed Power Management Policy for Wireless AdHoc Networks, Chiasserini et al.
• Energy Consumption in Mobile Phones: A Measurement Study..., Balasubramanian et al. (this is a good starting point to build the testbed)