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智能环境中的低功耗多跳网络分析

Low Power Multi-Hop Networking Analysis in Intelligent Environments.

作者信息

Etxaniz Josu, Aranguren Gerardo

机构信息

Electronic Technology Department, University of the Basque Country, Bilbao 48013, Spain.

出版信息

Sensors (Basel). 2017 May 19;17(5):1153. doi: 10.3390/s17051153.

DOI:10.3390/s17051153
PMID:28534847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5470899/
Abstract

Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide.

摘要

智能系统由传感、嵌入式系统、无线通信或情境识别等许多不同领域的最新技术进步驱动。本文聚焦于其中一些领域。具体而言,本文探讨嵌入式系统中的无线通信问题。更确切地说,本文将多跳网络与蓝牙技术以及服务质量(QoS)指标——延迟相结合。蓝牙是一种全球免无线电许可的通信标准,它使得低功耗多跳无线网络成为可能。它可建立微微网(点对点和点对多点链路)和散射网(多跳网络)。因此,许多蓝牙节点可以相互连接以建立环境智能网络。然后,本文展示了在先前搭建的硬件测试平台上对采用停车和嗅探蓝牙低功耗模式的多跳延迟进行研究的结果。此外,还给出了用于估计停车和嗅探模式下通过蓝牙异步无连接链路(ACL)进行多跳通信延迟的经验模型。智能系统的设备和网络设计者将受益于这些模型所提供的蓝牙多跳通信延迟估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/7aac0031bcba/sensors-17-01153-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/d1791bd1e20e/sensors-17-01153-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/a58529a601c6/sensors-17-01153-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/396d3bd80ad9/sensors-17-01153-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/6162d4b8bd98/sensors-17-01153-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/16f022cea2b5/sensors-17-01153-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/628671303e8f/sensors-17-01153-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/24d749b2580c/sensors-17-01153-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/7aac0031bcba/sensors-17-01153-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/d1791bd1e20e/sensors-17-01153-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/a58529a601c6/sensors-17-01153-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/396d3bd80ad9/sensors-17-01153-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/6162d4b8bd98/sensors-17-01153-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/16f022cea2b5/sensors-17-01153-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/628671303e8f/sensors-17-01153-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/24d749b2580c/sensors-17-01153-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c630/5470899/7aac0031bcba/sensors-17-01153-g008.jpg

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本文引用的文献

1
Note: Methodology for the analysis of Bluetooth gateways in an implemented scatternet.
Rev Sci Instrum. 2014 Mar;85(3):036111. doi: 10.1063/1.4869016.