Efficient and reliable low-power backscatter networks

Author:

Wang Jue1,Hassanieh Haitham1,Katabi Dina1,Indyk Piotr1

Affiliation:

1. MIT, Cambridge, MA, USA

Abstract

There is a long-standing vision of embedding backscatter nodes like RFIDs into everyday objects to build ultra-low power ubiquitous networks. A major problem that has challenged this vision is that backscatter communication is neither reliable nor efficient. Backscatter nodes cannot sense each other, and hence tend to suffer from colliding transmissions. Further, they are ineffective at adapting the bit rate to channel conditions, and thus miss opportunities to increase throughput, or transmit above capacity causing errors. This paper introduces a new approach to backscatter communication. The key idea is to treat all nodes as if they were a single virtual sender. One can then view collisions as a code across the bits transmitted by the nodes. By ensuring only a few nodes collide at any time, we make collisions act as a sparse code and decode them using a new customized compressive sensing algorithm. Further, we can make these collisions act as a rateless code to automatically adapt the bit rate to channel quality --i.e., nodes can keep colliding until the base station has collected enough collisions to decode. Results from a network of backscatter nodes communicating with a USRP backscatter base station demonstrate that the new design produces a 3.5× throughput gain, and due to its rateless code, reduces message loss rate in challenging scenarios from 50% to zero.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference51 articles.

1. Alien Technology Inc. ALN-9640 Squiggle Inlay. www.alientechnology.com. Alien Technology Inc. ALN-9640 Squiggle Inlay. www.alientechnology.com.

2. Combining geometry and combinatorics: A unified approach to sparse signal recovery

Cited by 143 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Low-Power Demodulator for LoRa Backscatter Systems With Frequency-Amplitude Transformation;IEEE/ACM Transactions on Networking;2024-08

2. Willow: Practical WiFi Backscatter Localization with Parallel Tags;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

3. Efficient Two-Way Edge Backscatter with Commodity Bluetooth;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

4. ConcurScatter: Scalable Concurrent OFDM Backscatter Using Subcarrier Pattern Diversity;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

5. Concurrent Backscatter for Smart Logistics;SpringerBriefs in Computer Science;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3