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一种用于家庭自动化网络的ZigBee性能增强的整体方法。

A holistic approach to ZigBee performance enhancement for home automation networks.

作者信息

Betzler August, Gomez Carles, Demirkol Ilker, Paradells Josep

机构信息

Department of Telematics Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.

出版信息

Sensors (Basel). 2014 Aug 14;14(8):14932-70. doi: 10.3390/s140814932.

DOI:10.3390/s140814932
PMID:25196004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4179007/
Abstract

Wireless home automation networks are gaining importance for smart homes. In this ambit, ZigBee networks play an important role. The ZigBee specification defines a default set of protocol stack parameters and mechanisms that is further refined by the ZigBee Home Automation application profile. In a holistic approach, we analyze how the network performance is affected with the tuning of parameters and mechanisms across multiple layers of the ZigBee protocol stack and investigate possible performance gains by implementing and testing alternative settings. The evaluations are carried out in a testbed of 57 TelosB motes. The results show that considerable performance improvements can be achieved by using alternative protocol stack configurations. From these results, we derive two improved protocol stack configurations for ZigBee wireless home automation networks that are validated in various network scenarios. In our experiments, these improved configurations yield a relative packet delivery ratio increase of up to 33.6%, a delay decrease of up to 66.6% and an improvement of the energy efficiency for battery powered devices of up to 48.7%, obtainable without incurring any overhead to the network.

摘要

无线家庭自动化网络在智能家居领域正变得越来越重要。在这一领域，ZigBee网络发挥着重要作用。ZigBee规范定义了一组默认的协议栈参数和机制，这些参数和机制由ZigBee家庭自动化应用配置文件进一步细化。我们采用整体方法，分析了跨ZigBee协议栈多层调整参数和机制如何影响网络性能，并通过实施和测试替代设置来研究可能的性能提升。评估是在由57个TelosB节点组成的测试平台上进行的。结果表明，使用替代协议栈配置可以实现显著的性能提升。基于这些结果，我们为ZigBee无线家庭自动化网络推导了两种改进的协议栈配置，并在各种网络场景中进行了验证。在我们的实验中，这些改进的配置可使相对数据包传输率提高多达33.6%，延迟降低多达66.6%，并使电池供电设备的能源效率提高多达48.7%，且无需给网络带来任何开销。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/fe6d454980de/sensors-14-14932f22.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/d2ae4af2f0f8/sensors-14-14932f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/6aaae9b511c2/sensors-14-14932f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/607369c35a3b/sensors-14-14932f12.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/a27cd2503560/sensors-14-14932f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/898a084426cc/sensors-14-14932f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/487d4cbf7409/sensors-14-14932f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/70a694c3b093/sensors-14-14932f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/dd207bf1ce31/sensors-14-14932f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c051/4179007/fe6d454980de/sensors-14-14932f22.jpg

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