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author:

Luo, Haibo (Luo, Haibo.) [1] | Xiao, Lianghui (Xiao, Lianghui.) [2] | Wu, Lingxin (Wu, Lingxin.) [3] | Ruan, Zhiqiang (Ruan, Zhiqiang.) [4] | Lin, Wen (Lin, Wen.) [5]

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EI

Abstract:

LoRa modulation is a narrowband, long-range wireless communication technology. At present, Sub-GHz LoRa is mainly used to build LoRaWAN and is applied to data collection of Internet of Things. However, the latest 2.4 GHz LoRa can be applied to point-to-point and self-organizing networks. In this paper, the impacts of bandwidth (BW) and spreading factor (SF) on the energy consumption is evaluated for the first time. In general, to reach the target transmission distance, a larger SF or a smaller BW can be selected to reduce transmitting power (but the ToA time will increase in this case), or the desired transmission distance can be achieved by increasing the transmitting power and keeping a smaller SF or a larger BW. obviously, both of them will increase the power consumption of transmission. We analyze which method is more energy-efficient by constructing an energy consumption model for LoRa communication. The energy model is suitable for the adaptive data rate (ADR) of LoRa and establishes the foundation for building low-energy node-to-node and Ad-hoc LoRa networks. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keyword:

Energy efficiency Energy utilization Low power electronics

Community:

  • [ 1 ] [Luo, Haibo]College of Computer and Control Engineering, Minjiang University, Fuzhou; 350108, China
  • [ 2 ] [Luo, Haibo]Digit Fujian Internet-of-Things Laboratory of Environmental Monitoring, Fujian Normal University, Fuzhou; 350117, China
  • [ 3 ] [Luo, Haibo]Electronic Information and Control of Fujian University Engineering Research Center, Fuzhou; 350108, China
  • [ 4 ] [Xiao, Lianghui]College of Computer and Control Engineering, Minjiang University, Fuzhou; 350108, China
  • [ 5 ] [Xiao, Lianghui]Electronic Information and Control of Fujian University Engineering Research Center, Fuzhou; 350108, China
  • [ 6 ] [Wu, Lingxin]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Ruan, Zhiqiang]College of Computer and Control Engineering, Minjiang University, Fuzhou; 350108, China
  • [ 8 ] [Ruan, Zhiqiang]Electronic Information and Control of Fujian University Engineering Research Center, Fuzhou; 350108, China
  • [ 9 ] [Lin, Wen]College of Computer and Control Engineering, Minjiang University, Fuzhou; 350108, China
  • [ 10 ] [Lin, Wen]Electronic Information and Control of Fujian University Engineering Research Center, Fuzhou; 350108, China

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ISSN: 1867-8211

Year: 2022

Volume: 418 LNICST

Page: 89-99

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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