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Sigfox低功耗广域网（LPWAN）上的SCHC分组分片能耗模型

Energy Consumption Model of SCHC Packet Fragmentation over Sigfox LPWAN.

作者信息

Aguilar Sergio, Platis Antonis, Vidal Rafael, Gomez Carles

机构信息

Department of Network Engineering, Universitat Politècnica de Catalunya, 08860 Castelldefels, Spain.

出版信息

Sensors (Basel). 2022 Mar 9;22(6):2120. doi: 10.3390/s22062120.

DOI:10.3390/s22062120
PMID:35336289
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8950739/
Abstract

The Internet Engineering Task Force (IETF) has standardized a new framework, called Static Context Header Compression and fragmentation (SCHC), which offers adaptation layer functionality designed to support IPv6 over Low Power Wide Area Networks (LPWANs). The IETF is currently profiling SCHC, and in particular its packet fragmentation and reassembly functionality, for its optimal use over certain LPWAN technologies. Considering the energy constraints of LPWAN devices, it is crucial to determine the energy performance of SCHC packet transfer. In this paper, we present a current and energy consumption model of SCHC packet transfer over Sigfox, a flagship LPWAN technology. The model, which is based on real hardware measurements, allows to determine the impact of several parameters and fragment transmission strategies on the energy performance of SCHC packet transfer over Sigfox. Among other results, we have found that the lifetime of a device powered by a 2000 mAh battery, transmitting packets every 5 days, is 168 days for 2250-byte packets, while it increases to 1464 days for 77-byte packets.

摘要

互联网工程任务组（IETF）已经标准化了一个名为静态上下文头部压缩与分片（SCHC）的新框架，该框架提供了旨在支持低功耗广域网（LPWAN）上的IPv6的适配层功能。IETF目前正在对SCHC进行分析，特别是其数据包分片和重组功能，以便在某些LPWAN技术上实现最佳使用。考虑到LPWAN设备的能量限制，确定SCHC数据包传输的能量性能至关重要。在本文中，我们提出了一种在旗舰LPWAN技术Sigfox上进行SCHC数据包传输的电流和能耗模型。该模型基于实际硬件测量，能够确定几个参数和分片传输策略对通过Sigfox进行SCHC数据包传输的能量性能的影响。在其他结果中，我们发现，由2000毫安电池供电、每5天传输一次数据包的设备，对于2250字节的数据包，其使用寿命为168天，而对于77字节的数据包，其使用寿命则增加到1464天。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5c46bc7943e3/sensors-22-02120-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/613d4059fadd/sensors-22-02120-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/f3ec99f22e97/sensors-22-02120-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/776fe5461722/sensors-22-02120-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/534283d72635/sensors-22-02120-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/863d956c3635/sensors-22-02120-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/861d7394c8ed/sensors-22-02120-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/cf540ab65ff4/sensors-22-02120-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/2be510524a36/sensors-22-02120-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5c43c1da250f/sensors-22-02120-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/a7cf0f9cab4c/sensors-22-02120-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/cdf6f079de9c/sensors-22-02120-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/71f19c836be5/sensors-22-02120-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/8be92030234b/sensors-22-02120-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/b0ebef896303/sensors-22-02120-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5c46bc7943e3/sensors-22-02120-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/613d4059fadd/sensors-22-02120-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/312e49b36e9a/sensors-22-02120-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5cd42ad4af20/sensors-22-02120-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/7a8aee1add59/sensors-22-02120-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/f3ec99f22e97/sensors-22-02120-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/776fe5461722/sensors-22-02120-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/534283d72635/sensors-22-02120-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/863d956c3635/sensors-22-02120-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/861d7394c8ed/sensors-22-02120-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/cf540ab65ff4/sensors-22-02120-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/2be510524a36/sensors-22-02120-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5c43c1da250f/sensors-22-02120-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/a7cf0f9cab4c/sensors-22-02120-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/cdf6f079de9c/sensors-22-02120-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/71f19c836be5/sensors-22-02120-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/8be92030234b/sensors-22-02120-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/b0ebef896303/sensors-22-02120-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aece/8950739/5c46bc7943e3/sensors-22-02120-g018.jpg

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本文引用的文献

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SCHC over LoRaWAN Efficiency: Evaluation and Experimental Performance of Packet Fragmentation.SCHC 对 LoRaWAN 效率的影响：数据包分片的评估和实验性能。
Sensors (Basel). 2022 Feb 16;22(4):1531. doi: 10.3390/s22041531.
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Sensors (Basel). 2020 Jan 3;20(1):280. doi: 10.3390/s20010280.
3
A Sigfox Energy Consumption Model.一个 Sigfox 能耗模型。
Sensors (Basel). 2019 Feb 7;19(3):681. doi: 10.3390/s19030681.