Suppr超能文献

对LoRaWAN的能源性能进行建模。

Modeling the Energy Performance of LoRaWAN.

作者信息

Casals Lluís, Mir Bernat, Vidal Rafael, Gomez Carles

机构信息

Department of Network Engineering, Universitat Politècnica de Catalunya/Fundació i2Cat, C/Esteve Terradas, 7, 08860 Castelldefels, Spain.

出版信息

Sensors (Basel). 2017 Oct 16;17(10):2364. doi: 10.3390/s17102364.

Abstract

LoRaWAN is a flagship Low-Power Wide Area Network (LPWAN) technology that has highly attracted much attention from the community in recent years. Many LoRaWAN end-devices, such as sensors or actuators, are expected not to be powered by the electricity grid; therefore, it is crucial to investigate the energy consumption of LoRaWAN. However, published works have only focused on this topic to a limited extent. In this paper, we present analytical models that allow the characterization of LoRaWAN end-device current consumption, lifetime and energy cost of data delivery. The models, which have been derived based on measurements on a currently prevalent LoRaWAN hardware platform, allow us to quantify the impact of relevant physical and Medium Access Control (MAC) layer LoRaWAN parameters and mechanisms, as well as Bit Error Rate (BER) and collisions, on energy performance. Among others, evaluation results show that an appropriately configured LoRaWAN end-device platform powered by a battery of 2400 mAh can achieve a 1-year lifetime while sending one message every 5 min, and an asymptotic theoretical lifetime of 6 years for infrequent communication.

摘要

LoRaWAN是一种旗舰级低功耗广域网(LPWAN)技术,近年来备受业界关注。许多LoRaWAN终端设备,如传感器或执行器,预计不由电网供电;因此,研究LoRaWAN的能耗至关重要。然而,已发表的作品仅在有限程度上关注了这个主题。在本文中,我们提出了分析模型,用于描述LoRaWAN终端设备的电流消耗、寿命和数据传输的能源成本。这些模型是基于对当前流行的LoRaWAN硬件平台的测量得出的,使我们能够量化相关物理层和介质访问控制(MAC)层LoRaWAN参数和机制,以及误码率(BER)和冲突对能源性能的影响。评估结果表明,一个由2400 mAh电池供电的配置适当的LoRaWAN终端设备平台,每5分钟发送一条消息时可实现1年的寿命,对于不频繁通信,渐近理论寿命为6年。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63ff/5677147/d075663d235e/sensors-17-02364-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验