BEANet: An Energy-efficient BLE Solution for High-capacity Equipment Area Network-Reference-Cited by-同舟云学术

BEANet: An Energy-efficient BLE Solution for High-capacity Equipment Area Network

Published:2024-02-23 Issue:3 Volume:20 Page:1-23
ISSN:1550-4859
Container-title:ACM Transactions on Sensor Networks
language:en
Short-container-title:ACM Trans. Sen. Netw.

Author:

Xu Yifan¹^ORCID,Dang Fan²^ORCID,Liu Kebin²^ORCID,Zhu Zhui³^ORCID,Chen Xinlei⁴^ORCID,Wang Xu²^ORCID,Miao Xin¹^ORCID,Zhao Haitian²^ORCID

Affiliation:

1. School of Software, Tsinghua University, Beijing, China

2. Global Innovation Exchange, Tsinghua University, Beijing, China

3. Department of Automation, Tsinghua University, Beijing, China

4. Shenzhen International Graduate School, Tsinghua University; Pengcheng Laboratory; RISC-V International Open Source Laboratory, Shenzhen, China

Abstract

The digital transformation of factories has greatly increased the number of peripherals that need to connect to a network for sensing or control, resulting in a growing demand for a new network category known as the Equipment Area Network (EAN). The EAN is characterized by its cable-free, high-capacity, low-latency, and low-power features. To meet these expectations, we present BEANet , a novel solution designed specifically for EAN that combines a two-stage synchronization mechanism with a time division protocol. We implemented the system using commercially available Bluetooth Low Energy (BLE) modules and evaluated its performance. Our results show that the network can support up to 150 peripherals with a packet reception rate of 95.4%, which is only 0.9% lower than collision-free BLE transmission. When the cycle time is set to 2 s, the average transmission latency for all peripherals is 0.1 s, while the power consumption is 18.9 μW, which is only half that of systems using LLDN or TSCH. Simulation results also demonstrate that BEANet has the potential to accommodate over 30,000 peripherals under certain configurations.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Guangdong Innovative and Entrepreneurial Research Team Program

Shenzhen 2022 Stabilization Support Program

Tsinghua Shenzhen International Graduate School Cross-disciplinary Research and Innovation Fund Research Plan

Tsinghua University - Architectural Design and Research Institute Joint Research Center for Synergy and Wisdom Creation of Architecture

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3641280

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