BEANet: An Energy Efficient BLE Solution for High-Capacity Equipment Area Network

IF 3.9 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yifan Xu, Fan Dang, Kebin Liu, Zhui Zhu, Xinlei Chen, Xu Wang, Xin Miao, Haitian Zhao
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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\(\mathrm{\upmu } \)W, 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.

BEANet:面向大容量设备区域网络的高能效 BLE 解决方案
工厂的数字化转型大大增加了需要连接到网络以进行传感或控制的外围设备的数量,从而导致对被称为设备区域网络(EAN)的新网络类别的需求不断增长。EAN 的特点是无电缆、大容量、低延迟和低功耗。为了满足这些期望,我们提出了 BEANet,这是一种专为 EAN 设计的新型解决方案,它将两级同步机制与时分协议相结合。我们使用市售的蓝牙低功耗(BLE)模块实现了该系统,并对其性能进行了评估。结果表明,该网络可支持多达 150 个外设,数据包接收率高达 95.4%,仅比无碰撞 BLE 传输低 0.9%。当周期时间设置为 2 s 时,所有外设的平均传输延迟为 0.1 s,而功耗为 18.9 (\mathrm{\upmu } \)W,仅为使用 LLDN 或 TSCH 的系统的一半。仿真结果还表明,在特定配置下,BEANet 有潜力容纳超过 30,000 个外设。
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来源期刊
ACM Transactions on Sensor Networks
ACM Transactions on Sensor Networks 工程技术-电信学
CiteScore
5.90
自引率
7.30%
发文量
131
审稿时长
6 months
期刊介绍: ACM Transactions on Sensor Networks (TOSN) is a central publication by the ACM in the interdisciplinary area of sensor networks spanning a broad discipline from signal processing, networking and protocols, embedded systems, information management, to distributed algorithms. It covers research contributions that introduce new concepts, techniques, analyses, or architectures, as well as applied contributions that report on development of new tools and systems or experiences and experiments with high-impact, innovative applications. The Transactions places special attention on contributions to systemic approaches to sensor networks as well as fundamental contributions.
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