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Chipnet: Enabling Large-scale Backscatter Network with Processor-free Devices

Published: 29 November 2022 Publication History

Abstract

Differing from tremendous existing works that mainly focus on optimizing backscatter communication, Radio-to-Bus (R2B) communication utilizes backscatter to offload processors from IoT devices to the gateway, achieving processor-free devices of significantly reduced power and hardware cost. However, R2B communication is not suitable for large-scale backscatter networks, since R2B cannot support parallel and long-range communication between the gateway and hundreds of R2B devices. In this article, we present Chipnet, a network that supports hundreds of long-range and concurrent connections between the gateway and multiple processor-free devices. The high-level design of Chipnet includes a parallel frequency-division uplink mechanism that can work on processor-free devices and a processor-free MAC layer protocol that supports gateway to broadcast downlink data and individually manage each processor-free device. This design addresses practical issues facing the processor-free device architecture, such as synchronizing hundreds of processor-free devices, assigning unique channel frequencies to every device, and realizing power-efficient processor-free signal conversion. The results demonstrate that a Chipnet network can achieve a task throughput of 2,400 tasks/s with a latency of 72.23 ms. Compared with the R2B network, Chipnet achieves 3×–5× improvements in network coverage range and two orders of magnitude improvement in both network throughput and network latency.

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  • (2024)Processor-Sharing Internet of Things Architecture for Large-scale DeploymentProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699333(211-224)Online publication date: 4-Nov-2024
  • (2023)Go Beyond RFID: Rethinking the Design of RFID Sensor Tags for Versatile ApplicationsProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3613284(1-16)Online publication date: 2-Oct-2023
  • (undefined)PAM-FOG Net: A Lightweight Weed Detection Model Deployed on Smart Weeding RobotsACM Transactions on Sensor Networks10.1145/3641821

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Published In

cover image ACM Transactions on Sensor Networks
ACM Transactions on Sensor Networks  Volume 18, Issue 4
November 2022
619 pages
ISSN:1550-4859
EISSN:1550-4867
DOI:10.1145/3561986
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Association for Computing Machinery

New York, NY, United States

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Publication History

Published: 29 November 2022
Online AM: 24 June 2022
Accepted: 05 June 2022
Revised: 20 May 2022
Received: 25 February 2022
Published in TOSN Volume 18, Issue 4

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Author Tags

  1. Backscatter network
  2. IoT device
  3. long-range backscatter
  4. network latency
  5. network throughput
  6. parallel communication
  7. processor-free devices

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  • Research-article
  • Refereed

Funding Sources

  • National Natural Science Foundation of China
  • National Key R&D Program of China
  • Science and Technology Achievements Transformation Demonstration Project of Sichuan Province of China

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  • (2024)Processor-Sharing Internet of Things Architecture for Large-scale DeploymentProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699333(211-224)Online publication date: 4-Nov-2024
  • (2023)Go Beyond RFID: Rethinking the Design of RFID Sensor Tags for Versatile ApplicationsProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3613284(1-16)Online publication date: 2-Oct-2023
  • (undefined)PAM-FOG Net: A Lightweight Weed Detection Model Deployed on Smart Weeding RobotsACM Transactions on Sensor Networks10.1145/3641821

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