System-level power optimization: techniques and tools
ISLPED '99 Proceedings of the 1999 international symposium on Low power electronics and design
A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Automatic performance setting for dynamic voltage scaling
Proceedings of the 7th annual international conference on Mobile computing and networking
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Saving energy with architectural and frequency adaptations for multimedia applications
Proceedings of the 34th annual ACM/IEEE international symposium on Microarchitecture
Opportunistic media access for multirate ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Proceedings of the 15th international symposium on System Synthesis
Executing multiple pipelined data analysis operations in the grid
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Communication speed selection for embedded systems with networked voltage-scalable processors
Proceedings of the tenth international symposium on Hardware/software codesign
Energy-Aware Routing in Cluster-Based Sensor Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
IEEE Transactions on Parallel and Distributed Systems
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Preemption-aware dynamic voltage scaling in hard real-time systems
Proceedings of the 2004 international symposium on Low power electronics and design
IEEE 802.11 rate adaptation: a practical approach
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Mobile OGSI.NET: Grid Computing on Mobile Devices
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Cooperative I/O: a novel I/O semantics for energy-aware applications
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Robust rate adaptation for 802.11 wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
Effective dynamic voltage scaling through CPU-Boundedness detection
PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
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Energy saving has been studied widely in both of computing and communication research communities. For handheld devices, energy is becoming a more and more critical issue because lots of applications running on handhelds today are computation or communication intensive and take a long time to finish. Unlike previous work that proposes computing or communication energy solutions alone, this paper proposes a novel energy savings approach through mobile collaborative systems, which jointly consider computing and communication energy cost. In this work, the authors use streaming video as investigated application scenario and propose multi-hop pipelined wireless collaborative system to decode video frames with a requirement for maximum inter-frame time. To finish a computing task with such a requirement, this paper proposes a control policy that can dynamically adapt processor frequency and communication transmission rate at the collaborative devices. The authors build a mathematical energy model for collaborative computing systems. Results show that the collaborative system helps save energy, and the transmission rate between collaborators is a key parameter for maximizing energy savings. The energy saving algorithm in computing devices is implemented and the experimental results show the same trend.