Processor-Sharing Internet of Things Architecture for Large-scale Deployment

Qianhe Meng, Han Wang, Chong Zhang, Yihang Song, Songfan Li, Li Lu*, Hongzi Zhu

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Large-scale IoT sensor deployment calls for inexpensive, low-power sensor nodes that still perform long-range, large-scale networking at the system level. However, current sensor nodes are constructed according to the 'one-size-fits-all' embedded design, where the processor and RF transceiver are indispensable but underutilized in low-duty cycles, resulting in overwhelmingly significant unit price and run-time power. In this paper, we propose a novel processor-sharing IoT architecture that converts the vast majority of sensor nodes from embedded computers to low-end RF peripherals. The conventional full-fledged sensor nodes are smashed into the air, and the scattered chips are scaled well with negligible overheads through a virtual I2C bus called RFBus. Specifically, the RFBus interface is designed to be backward compatible with the I2C bus interface, and thus, the RFBus network inherits versatile link layer services transparently from the well-established I2C link layer protocol. We design the RFBus with a joint consideration of system-level performance and deployment costs and evaluate the prototypes in indoor and outdoor scenarios. The result indicates that the proposed architecture achieves 6.09 x (indoor) and 6.69 x (outdoor) energy saving and reduces the unit price of sensor nodes by 23.5% (indoor) and 33.5% (outdoor).

Original languageEnglish
Title of host publicationSenSys 2024 - Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages211-224
Number of pages14
ISBN (Electronic)9798400706974
DOIs
Publication statusPublished - 4 Nov 2024
Event22nd ACM Conference on Embedded Networked Sensor Systems, SenSys 2024 - Hangzhou, China
Duration: 4 Nov 20247 Nov 2024

Publication series

NameSenSys 2024 - Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems

Conference

Conference22nd ACM Conference on Embedded Networked Sensor Systems, SenSys 2024
Country/TerritoryChina
CityHangzhou
Period4/11/247/11/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright is held by the owner/author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • large-scale sensor deployment
  • processor-sharing architecture
  • virtual Ic bus

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