Embedding Chips Over the Air: Rethink IoT Architecture for Ubiquitous Sensing
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 I <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> C bus called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RFBus</i>. Specifically, RFBus interface is designed to be backward compatible with the I <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> C bus interface, and thus, RFBus network inherits versatile link layer services transparently from the well-established I <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> C link layer protocol. We design RFBus with joint consideration of system-level performance and deployment costs and evaluate the prototypes both indoors and outdoors. The result indicates that the proposed architecture achieves 6.09 × (indoor) and 6.69 × (outdoor) energy saving and reduces the unit price of sensor nodes by 23.5% (indoor) and 33.5% (outdoor).
Authors
- Li Lu (ORCID: https://orcid.org/0000-0002-4361-012X)
- Qianhe Meng (ORCID: https://orcid.org/0000-0002-8118-2912)
- Chong Zhang (ORCID: https://orcid.org/0000-0001-8857-0144)
- Songfan Li (ORCID: https://orcid.org/0000-0002-4054-6513)
- Hongzi Zhu
- Yihang Song (ORCID: https://orcid.org/0000-0003-4043-122X)
- Han Wang (ORCID: https://orcid.org/0000-0001-5068-527X)
Institutions
- University of Electronic Science and Technology of China (CN)
- Southwest Petroleum University (CN)
- Shanghai Jiao Tong University (CN)
- Hong Kong University of Science and Technology (HK)
Publication Details
- Journal
- IEEE Transactions on Mobile Computing
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1109/tmc.2025.3567635
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00