@inproceedings{52d256f09d1e42638f7c7502c441ac4f,
title = "OpenWuR: An Open WSN Platform for WuR-based Application Prototyping",
abstract = "Recently, Wake-up Radio (WuR) based systems have gained interest from the academic and industrial institutions, given their ultra-low power consumption during channel listening and highly responsive features, which is required in several Wireless Sensor Network (WSN) applications, such as environmental monitoring. However, few WuR-based platforms have been reported in the literature for rapid prototyping and testing of new WSN techniques without relying only on simulation tools. In this paper, an open-source WSN platform based on the WuR paradigm is presented, with dual-stack support tuned for the 915MHz and 2.4GHz ISM bands, ContikiOS as the operating system, and an onboard power monitoring system for performance evaluation purposes. This power management system differentiates the power consumption between theWuR module and the sensor node, allowing the extrapolation of the results, with respect to the consumption of other WuR prototypes reported in the state-of-the-art. The experimental results validated the flexibility of the proposed system and the interesting potential of such a platform for prototyping purposes.",
keywords = "OOK, WSN, WuR, hardware, prototyping",
author = "Felix Cabarcas and Juan Aranda and Diego Mendez",
note = "Publisher Copyright: Copyright {\textcopyright} 2020 held by the authors.; International Conference on Embedded Wireless Systems and Networks, EWSN 2020 ; Conference date: 17-02-2020 Through 19-02-2020",
year = "2020",
month = may,
day = "29",
language = "English",
isbn = "9780994988645",
series = "International Conference on Embedded Wireless Systems and Networks",
publisher = "Association for Computing Machinery, Inc",
pages = "212--217",
editor = "Christine Julien and Fabrice Valois and Omprakash Gnawali and Murphy, {Amy L.}",
booktitle = "International Conference on Embedded Wireless Systems and Networks, EWSN 2020 - Proceedings",
}