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Center for Embedded Network Sensing
University of California, Multi-Campus Research Unit

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A Stream-Oriented Power Management Protocol for Low Duty Cycle Sensor Network Applications
Nithya Ramanathan
Mark D. Yarvis
Jasmeet Chhabra
Nandakishore Kushalnagar
Lakshman Krishnamurthy
D Estrin

   EmNets

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ABSTRACT:
Most power management protocols are packet-based and optimize for applications with mostly asynchronous (i.e. unexpected) traffic. We present AppSleep, a stream-oriented power management protocol for latency tolerant sensor network applications. For this class of applications, AppSleep demonstrates an over 3x lifetime gain over B-MAC and SMAC. AppSleep leverages application characteristics in order to take advantage of periods of high latency tolerance to put the network to sleep for extended periods of time, while still facilitating low latency responses when required. AppSleep also gives applications the flexibility to efficiently and effectively trade latency for energy when desired, and enables energy efficient multi-fragment unicast communication by only keeping the active route awake. We also present Adaptive AppSleep, an application driven addition to AppSleep which supports varying latency requirements while still maximizing energy efficiency. Our evaluation demonstrates that for an overlooked class of applications, stream-oriented power management protocols such as AppSleep outperform packet-based protocols such as B-MAC and S-MAC.

SUGGESTED CITATION:
Nithya Ramanathan, Mark D. Yarvis, Jasmeet Chhabra, Nandakishore Kushalnagar, Lakshman Krishnamurthy, and D Estrin, "A Stream-Oriented Power Management Protocol for Low Duty Cycle Sensor Network Applications" (May 5, 2005). Center for Embedded Network Sensing. Papers. Paper 135.
http://repositories.cdlib.org/cens/wps/135

POST-PRINT:
Nithya Ramanathan, Mark D. Yarvis, Jasmeet Chhabra, Nandakishore Kushalnagar, Lakshman Krishnamurthy, and D Estrin, "A Stream-Oriented Power Management Protocol for Low Duty Cycle Sensor Network Applications" (2005). Center for Embedded Network Sensing. Artice 1033.

 
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