Real-Time Encoding/Decoding for Pairwise Communication Over an Unreliable Sensor Network

Daniel Graham, Arnold Yim, Gang Zhou, Weizhen Mao

Abstract

The length of time that a wireless sensor can be deployed is limited by its internal power supply. To increase the deployment lifetime of these sensors we must find ways to conserve power. In this paper, we propose an algorithm that reduces the amount of energy the transceiver consumes by compressing the bytes that are sent and received over the network. The algorithm compresses a data stream by exploiting its temporal locality and is designed to function efficiently on an unreliable network in real-time. A stream is compressed by using fewer bits to represent elements that frequently recur. We evaluate the proposed compression algorithm using a collection of independently collected traces from the crawdad database. We calculated the compression ratio for each trace and found that we were able to reduce the number of bytes transmitted by an average of 60%, resulting in a 30% increase in energy savings.

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Paper Citation


in Harvard Style

Graham D., Yim A., Zhou G. and Mao W. (2019). Real-Time Encoding/Decoding for Pairwise Communication Over an Unreliable Sensor Network.In Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-355-1, pages 69-76. DOI: 10.5220/0007247000690076


in Bibtex Style

@conference{sensornets19,
author={Daniel Graham and Arnold Yim and Gang Zhou and Weizhen Mao},
title={Real-Time Encoding/Decoding for Pairwise Communication Over an Unreliable Sensor Network},
booktitle={Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2019},
pages={69-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007247000690076},
isbn={978-989-758-355-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Real-Time Encoding/Decoding for Pairwise Communication Over an Unreliable Sensor Network
SN - 978-989-758-355-1
AU - Graham D.
AU - Yim A.
AU - Zhou G.
AU - Mao W.
PY - 2019
SP - 69
EP - 76
DO - 10.5220/0007247000690076