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A framework for multimodal wireless sensor networks
Ad Hoc Networks ( IF 4.4 ) Pub Date : 2020-05-18 , DOI: 10.1016/j.adhoc.2020.102201
Juan Aranda , Diego Mendez , Henry Carrillo , Mario Schölzel

During the last decade, the Wireless Sensor Networks have been considered as a broad solution for Internet of Things (IoT) based systems such as noise and air pollution monitoring systems. These systems should be able to monitor the physical variables regularly and simultaneously, to react immediately upon the occurrence of an emergency, and to report the event and its associated data to an observer, in a reliable and energy-efficient way. Recently, the MultiModal Wireless Sensor Networks (M2WSNs) have been proposed as a solution for monitoring oriented applications with low bandwidth requirements that operate simultaneously under normal circumstances and emergencies. In this paper, we present a reliable and energy-efficiency framework for M2WSNs based on the IoT and the Wake-up Radio paradigms. The framework is implemented in ContikiOS, an open-source operating system for IoT solutions, and its performance is evaluated in hardware in an indoor testbed. The experimental results show that the proposed framework provides better reliability in terms of the event reporting latency and packet delivery ratio. Besides, a significant energy-saving is achieved when considering a broadcast-based wake-up scheme with one communication hop for data transmission and acknowledgment procedures in a multi-hop network, compared to a single-radio approach based on a traditional low-duty-cycling and networking techniques.



中文翻译:

多模式无线传感器网络的框架

在过去的十年中,无线传感器网络被认为是基于物联网(IoT)的系统(例如,噪声和空气污染监测系统)的广泛解决方案。这些系统应该能够定期且同时监视物理变量,在发生紧急情况时立即做出反应,并以可靠且节能的方式将事件及其相关数据报告给观察者。近来,已经提出了多模态无线传感器网络(M2WSN)作为监视具有低带宽要求的面向应用的解决方案,该应用在正常情况下和紧急情况下同时运行。在本文中,我们提出了一种基于IoT和唤醒无线电范例的M2WSN可靠且节能的框架。该框架是在ContikiOS中实现的,一个用于物联网解决方案的开源操作系统,其性能在室内测试平台的硬件中进行了评估。实验结果表明,所提出的框架在事件报告等待时间和分组传送率方面提供了更好的可靠性。此外,与基于传统低负荷的单无线电方法相比,考虑多广播网络中具有一个通信跳的基于广播的唤醒方案用于数据传输和确认过程时,可实现显着的节能效果。循环和联网技术。

更新日期:2020-05-18
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