Energy Consumption of a LoRaWAN Network using Jarvis Algorithm

Esau Bermudez, D. Sadok
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引用次数: 3

Abstract

Energy consumption in LPWANs, such as LoRaWAN, plays an important role in determining the lifetime of wireless sensor networks motes. In this paper, the use of different battery technologies and the impact of the media access control layer (MAC) and physical layer (PHY) are studied. Among the metrics monitored in this scenario, it is energy efficiency and its impact on battery life for better performance. The Jarvis algorithm its run on the sensor network to examine the impact on the MAC and physical layer of LoRa. Its parameters such as spreading factor, channel activity detection, code rate and channel frequencies on the consumption of Energy; Executing the Jarvis algorithm showed that both technologies discharge in a similar way, but lithium batteries increase their resistance to discharge for a longer time and are more profitable when executing the Jarvis algorithm.
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基于Jarvis算法的LoRaWAN网络能耗分析
在低功耗广域网(如LoRaWAN)中,能量消耗对无线传感器网络的寿命起着重要的决定作用。本文研究了不同电池技术的使用以及对介质访问控制层(MAC)和物理层(PHY)的影响。在此场景中监控的指标包括能源效率及其对电池寿命的影响,以获得更好的性能。在传感器网络上运行Jarvis算法,检查对LoRa的MAC和物理层的影响。其参数如扩频因子、信道活动检测、码率和信道频率对能量消耗的影响;执行贾维斯算法表明,两种技术的放电方式相似,但在执行贾维斯算法时,锂电池的放电阻力增加了更长的时间,并且更有利可图。
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