Scheduled Power
And RaTe Adaptation (SPARTA)
Introduction
SPARTA reduces power consumption in wireless networks by adaptively varying transmission rate taking advantage of transmission power control for this reduced transmission rate. It uses the observation that power consumption is convex in the rate of a transmission code. (Shannon's Law). It consists of two main aspects : a Traffic Estimator that estimates the rate of traffic that needs to be transmitted, and a Traffic Scheduler that chooses a rate among the available bandwidths to schedule a packet. Of course, each node cannot transmit packets arbitrarily slowly. In multi-node scenarios, each node estimates the global load on the network and adaptively varies its transmission rate to achieve global fairness in channel utilization as well as local power savings.
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Page maintained by Ramana Kompella
Last modified Nov 24, 2005
SPARTA reduces power consumption in wireless networks by adaptively varying transmission rate taking advantage of transmission power control for this reduced transmission rate. It uses the observation that power consumption is convex in the rate of a transmission code. (Shannon's Law). It consists of two main aspects : a Traffic Estimator that estimates the rate of traffic that needs to be transmitted, and a Traffic Scheduler that chooses a rate among the available bandwidths to schedule a packet. Of course, each node cannot transmit packets arbitrarily slowly. In multi-node scenarios, each node estimates the global load on the network and adaptively varies its transmission rate to achieve global fairness in channel utilization as well as local power savings.
People
Publications
Efficient cooperative Scheduling in 802.11 Wireless Networks
Ishwar Ramani, Ramana Rao Kompella, Sriram Ramabhadran, and Alex C. Snoeren
UCSD Technical Report CS2005-0822
La Jolla, CA, May 2005 [pdf] [ps]
Cooperative Scheduling via Pipelining in 802.11 Wireless Networks
Ramana Rao Kompella, Sriram Ramabhadran, Ishwar Ramani, and Alex C. Snoeren
in Proceedings of the ACM SIGCOMM Workshop on Experimental Approaches on Wireless Network Design and Analysis
(EWind 05) Philadelphia, PA, August, 2005 [pdf] [ps]
Practical Lazy Scheduling in Sensor Networks
Ramana Rao Kompella and Alex C. Snoeren
in Proceedings of the First ACM Conference on Embedded Networked Sensor Systems
(Sensys 03) Los Angeles, California, Nov 2003 [pdf] [ps]
SPARTA: Scheduled Power and Rate Adaptation
Ramana Rao Kompella and Alex C. Snoeren
Poster abstract to appear in ACM SIGCOMM 2003,
Karlsruhe, Germany, Aug 2003 Abstract Poster
Efficient cooperative Scheduling in 802.11 Wireless Networks
Ishwar Ramani, Ramana Rao Kompella, Sriram Ramabhadran, and Alex C. Snoeren
UCSD Technical Report CS2005-0822
La Jolla, CA, May 2005 [pdf] [ps]
Cooperative Scheduling via Pipelining in 802.11 Wireless Networks
Ramana Rao Kompella, Sriram Ramabhadran, Ishwar Ramani, and Alex C. Snoeren
in Proceedings of the ACM SIGCOMM Workshop on Experimental Approaches on Wireless Network Design and Analysis
(EWind 05) Philadelphia, PA, August, 2005 [pdf] [ps]
Practical Lazy Scheduling in Sensor Networks
Ramana Rao Kompella and Alex C. Snoeren
in Proceedings of the First ACM Conference on Embedded Networked Sensor Systems
(Sensys 03) Los Angeles, California, Nov 2003 [pdf] [ps]
SPARTA: Scheduled Power and Rate Adaptation
Ramana Rao Kompella and Alex C. Snoeren
Poster abstract to appear in ACM SIGCOMM 2003,
Karlsruhe, Germany, Aug 2003 Abstract Poster
Talks
Practical Lazy Scheduling in Sensor Networks
Ramana Rao Kompella and Alex C. Snoeren
(Sensys 03) Los Angeles, California, Nov 2003 Slides pdf
Practical Lazy Scheduling in Sensor Networks
Ramana Rao Kompella and Alex C. Snoeren
(Sensys 03) Los Angeles, California, Nov 2003 Slides pdf
Page maintained by Ramana Kompella
Last modified Nov 24, 2005