XiaoShawnZhu / WearMan

A tool for wearable networking performance measurement and analysis

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WearMan

Introduction

WearMan is a toolkit for wearable networking performance measurement and analysis, used in our SIGMETRICS'19 paper: Understanding the Networking Performance of Wear OS. It enables active and passive measurement of Bluetooth and WiFi network performance on wearable devices.

WearMan consists of measurement and analysis parts.

When you use WearMan in any publications, please refer our work in the following format.

Xiao Zhu, Yihua Ethan Guo, Ashkan Nikravesh, Feng Qian, and Z. Morley Mao. 
2019. Understanding the Networking Performance of Wear OS. 
In Proceedings of SIGMETRICS ’19. ACM, New York, NY, USA, 25 pages. 

If you have any questions about how to use the code, please contact me (shawnzhu@umich.edu).

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A tool for wearable networking performance measurement and analysis


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Language:Python 43.9%Language:Java 42.2%Language:C++ 13.9%