Energy Saving via Power-Aware Buffering in Wireless Sensor Networks

This paper presents a study on the impact of buffering schemes on wireless sensor power consumption. Two common buffering paradigms are studied: fixed-size buffering and fixed-interval buffering. We present theoretical analyses of the power consumption of the buffering schemes, in relation to parame...

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Bibliographic Details
Published inIEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications pp. 2411 - 2415
Main Authors Yibei Ling, Chung-Min Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2007
Subjects
Biomedical monitoring
Energy conservation
Energy consumption
Energy management
Master-slave
Microcontrollers
Peer to peer computing
Power system management
Sensor arrays
Wireless sensor networks
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Summary:This paper presents a study on the impact of buffering schemes on wireless sensor power consumption. Two common buffering paradigms are studied: fixed-size buffering and fixed-interval buffering. We present theoretical analyses of the power consumption of the buffering schemes, in relation to parameters of the sensor node's wireless radio and memory modules, as well as the sensor data arrival rate. Our results indicate that, under the same circumstances, the optimal fixed-size buffering scheme outperforms the optimal fixed-interval scheme in terms of overall power conservation. We also show that a power-aware buffering scheme can save significant energy consumption over a power-oblivious buffering scheme, thus prolonging the useful lifespan of the sensor nodes.
ISBN:1424410479
9781424410477
ISSN:0743-166X
2641-9874
DOI:10.1109/INFCOM.2007.291