Literature DB >> 28286885

Laissez-Faire : Fully Asymmetric Backscatter Communication.

Pan Hu1, Pengyu Zhang1, Deepak Ganesan1.   

Abstract

Backscatter provides dual-benefits of energy harvesting and low-power communication, making it attractive to a broad class of wireless sensors. But the design of a protocol that enables extremely power-efficient radios for harvesting-based sensors as well as high-rate data transfer for data-rich sensors presents a conundrum. In this paper, we present a new fully asymmetric backscatter communication protocol where nodes blindly transmit data as and when they sense. This model enables fully flexible node designs, from extraordinarily power-efficient backscatter radios that consume barely a few micro-watts to high-throughput radios that can stream at hundreds of Kbps while consuming a paltry tens of micro-watts. The challenge, however, lies in decoding concurrent streams at the reader, which we achieve using a novel combination of time-domain separation of interleaved signal edges, and phase-domain separation of colliding transmissions. We provide an implementation of our protocol, LF-Backscatter, and show that it can achieve an order of magnitude or more improvement in throughput, latency and power over state-of-art alternatives.

Entities:  

Keywords:  Architecture; Backscatter; Wireless

Year:  2015        PMID: 28286885      PMCID: PMC5344028          DOI: 10.1145/2829988.2787477

Source DB:  PubMed          Journal:  Proc ACM SIGCOMM Conf


  1 in total

1.  Channel Prediction Based on BP Neural Network for Backscatter Communication Networks.

Authors:  Jumin Zhao; Hao Tian; Deng-Ao Li
Journal:  Sensors (Basel)       Date:  2020-01-05       Impact factor: 3.576

  1 in total

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