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Energy-efficient Dual-codebook–based Backscatter Communications for Wireless Powered Networks

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Yi-Hua ZhuAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 17, Issue 1

Article No.: 9, Pages 1 - 20

https://doi.org/10.1145/3426885

Published: 17 November 2020 Publication History

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Abstract

The common backscatter communications (ComBC), widely applied in wireless powered networks such as the RFID systems, exhibit the shortcoming that only a few bits are backscattered at a time due to energy limitation. It is significant to improve energy efficiency in backscatter communications so more data can be delivered within one backscatter. In this article, the energy-efficient dual-codebook based backscatter communications (DBBC) is proposed, which adopts two prefix codebooks shared by the sender and the receiver over a backscatter communication link. With the DBBC, the sender backscatters codewords from which the receiver decodes the original data. Using Energy Consumption Disparity (ECD) between backscattering bits 1 and 0 in the existing backscatter communications, we formulate the optimization problem minimizing energy consumption over the link for the DBBC. Mapping a prefix codebook into a binary tree and performing pruning and expanding operation (PEO) on binary trees, we obtain the solution to the optimization problem, which includes the two energy-efficient codebooks and the other two key parameters for the DBBC. The experiments on wireless identification sensing platform (WISP) show that, under the proposed DBBC, the sender can backscatter data 83% more than the ComBC with the same energy without sacrificing throughput.

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Index Terms

Energy-efficient Dual-codebook–based Backscatter Communications for Wireless Powered Networks
1. Networks
  1. Network algorithms
  2. Network protocols

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Information & Contributors

Information

Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 17, Issue 1

February 2021

256 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3426429

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2020 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 17 November 2020

Accepted: 01 September 2020

Revised: 01 July 2020

Received: 01 March 2020

Published in TOSN Volume 17, Issue 1

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https://dl.acm.org/doi/10.5555/3650697.3650702
Zhang HLi YLi X(2024)Constrained Bipartite Graph Learning for Imbalanced Multi-Modal RetrievalIEEE Transactions on Multimedia10.1109/TMM.2023.332388426(4502-4514)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3323884
Zhang YLi YChen BLi EZheng KChi KZhu Y(2024)Design of an RFID-Based Self-Jamming Identification and Sensing PlatformIEEE Transactions on Mobile Computing10.1109/TMC.2023.3280942(1-15)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3280942
Cai MJiang XShen JYe B(2024)SplitDB: Closing the Performance Gap for LSM-Tree-Based Key-Value StoresIEEE Transactions on Computers10.1109/TC.2023.332698273:1(206-220)Online publication date: 1-Jan-2024
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Zhang YLiu XZheng KLi YYao Y(2022)Energy-Efficient Multicodebook-Based Backscatter Communications for Wireless-Powered NetworksIEEE Internet of Things Journal10.1109/JIOT.2022.31620959:18(18153-18163)Online publication date: 15-Sep-2022
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LU WGONG SZHU Y(2022)Timely Data Delivery for Energy‐Harvesting IoT DevicesChinese Journal of Electronics10.1049/cje.2021.00.00531:2(322-336)Online publication date: Mar-2022
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