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Enabling Bit-by-Bit Backscatter Communication in Severe Energy Harvesting Environments

Authors: 

Pengyu Zhang and Deepak Ganesan, University of Massachusetts Amherst

Abstract: 

Micro-powered wireless sensors present new challenges due to the severe harvesting conditions under which they need to operate and their tiny energy reservoirs. However, existing lowpower network stacks make a slew of design choices that limit the ability to scale down to such environments. We address these issues with QuarkNet, a backscatter-based network stack that is designed to enable continuous communication even if there is only enough harvested energy to transmit a few bits at a time while simultaneously optimizing throughput across a network of micro-powered devices. We design and implement QuarkNet on a software radio based RFID reader and the UMass Moo platform, and show that QuarkNet increases the communication distance by 3.5 over Dewdrop, 9 over Buzz, and is within 96% of the upper bound of achievable range. QuarkNet also improves the communication throughput by 10.5 over EPC Gen 2, 5.8 over Dewdrop, and 3.3 over Flit for tag-to-reader communication and by 1.5 over EPC Gen 2 for reader-to-tag communication.

Pengyu Zhang, University of Massachusetts Amherst

Deepak Ganesan, University of Massachusetts Amherst

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BibTeX
@inproceedings {179759,
author = {Pengyu Zhang and Deepak Ganesan},
title = {Enabling {Bit-by-Bit} Backscatter Communication in Severe Energy Harvesting Environments},
booktitle = {11th USENIX Symposium on Networked Systems Design and Implementation (NSDI 14)},
year = {2014},
isbn = {978-1-931971-09-6},
address = {Seattle, WA},
pages = {345--357},
url = {https://www.usenix.org/conference/nsdi14/technical-sessions/presentation/zhang},
publisher = {USENIX Association},
month = apr,
}
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