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浮动蓝:一种适用于偏远地区的、结合数据骡子和低功耗通信的、基于延迟容忍网络的物联网架构。

FloatingBlue: A Delay Tolerant Networks-Enabled Internet of Things Architecture for Remote Areas Combining Data Mules and Low Power Communications.

作者信息

Teixeira Ruan C M, Carvalho Celso B, Calafate Carlos T, Mota Edjair, Fernandes Rubens A, Printes Andre L, Nascimento Lennon B F

机构信息

Postgraduate Program in Electrical Engineering, Federal University of Amazonas, Manaus 69080-900, Brazil.

Embedded Systems Laboratory, State University of Amazonas, Manaus 69050-020, Brazil.

出版信息

Sensors (Basel). 2024 Sep 26;24(19):6218. doi: 10.3390/s24196218.

DOI:10.3390/s24196218
PMID:39409258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11478402/
Abstract

Monitoring vast and remote areas like forests using Wireless Sensor Networks (WSNs) presents significant challenges, such as limited energy resources and signal attenuation over long distances due to natural obstacles. Traditional solutions often require extensive infrastructure, which is impractical in such environments. To address these limitations, we introduce the "FloatingBlue" architecture. This architecture, known for its superior energy efficiency, combines Bluetooth Low Energy (BLE) technology with Delay Tolerant Networks (DTN) and data mules. It leverages BLE's low power consumption for energy-efficient sensor broadcasts while utilizing DTN-enabled data mules to collect data from dispersed sensors without constant network connectivity. Deployed in a remote agricultural area in the Amazon region, "FloatingBlue" demonstrated significant improvements in energy efficiency and communication range, with a high Packet Delivery Ratio (PDR). The developed BLE beacon sensor achieved state-of-the-art energy consumption levels, using only 2.25 µJ in sleep mode and 11.8 µJ in transmission mode. Our results highlight "FloatingBlue" as a robust, low-power solution for remote monitoring in challenging environments, offering an energy-efficient and scalable alternative to traditional WSN approaches.

摘要

使用无线传感器网络(WSN)监测森林等广阔偏远地区面临着重大挑战,例如能源资源有限以及由于自然障碍物导致的长距离信号衰减。传统解决方案通常需要大量基础设施,在这样的环境中这是不切实际的。为了解决这些限制,我们引入了“FloatingBlue”架构。这种以卓越能源效率著称的架构,将低功耗蓝牙(BLE)技术与延迟容忍网络(DTN)和数据中继相结合。它利用BLE的低功耗实现节能的传感器广播,同时利用支持DTN的数据中继从分散的传感器收集数据,而无需持续的网络连接。部署在亚马逊地区的一个偏远农业区域,“FloatingBlue”在能源效率和通信范围方面展现出显著提升,具有高数据包传输率(PDR)。所开发的BLE信标传感器达到了先进的能耗水平,在睡眠模式下仅使用2.25微焦耳,在传输模式下使用11.8微焦耳。我们的结果突出表明,“FloatingBlue”是一种适用于具有挑战性环境的远程监测的强大低功耗解决方案,为传统WSN方法提供了一种节能且可扩展的替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/af5ff9b72ae3/sensors-24-06218-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/3157fb1e8a29/sensors-24-06218-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/5cf96981e6a4/sensors-24-06218-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/8526c1f6eb73/sensors-24-06218-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/35a29581f66b/sensors-24-06218-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/d63ce36c3cab/sensors-24-06218-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/472656aaed6d/sensors-24-06218-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/65f60c603a1e/sensors-24-06218-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/6557f78c84f6/sensors-24-06218-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/3dda78e4bfbc/sensors-24-06218-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/f214f8a52d82/sensors-24-06218-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/af5ff9b72ae3/sensors-24-06218-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/3157fb1e8a29/sensors-24-06218-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/571c43f2c463/sensors-24-06218-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/9895fc632b4e/sensors-24-06218-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/5cf96981e6a4/sensors-24-06218-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/8526c1f6eb73/sensors-24-06218-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/35a29581f66b/sensors-24-06218-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/d63ce36c3cab/sensors-24-06218-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/472656aaed6d/sensors-24-06218-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/65f60c603a1e/sensors-24-06218-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/6557f78c84f6/sensors-24-06218-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/3dda78e4bfbc/sensors-24-06218-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/f214f8a52d82/sensors-24-06218-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a971/11478402/af5ff9b72ae3/sensors-24-06218-g013.jpg

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