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Open access
Springer Nature
Lecture Notes in Electrical Engineering
,  pages 181-188

Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission

Mohamad Kheir El Dine 1
, 
Hussein Al Haj Hassan 2
, 
Abbass Nasser 3
, 
Chamseddine Zaki 4
, 
Azza Moawad 5
, 
Ali Mansour 1
1
 
ENSTA Bretagne, LabSTICC UMR CNRS 8265, Brest Cedex 9, France | 
2
 
3
 
Computer Science Departement, American University of Culture and Education, ICCS-Lab, Beirut, Lebanon | 
4
 
5
 
Publication type: Book Chapter
Publication date: 2024-01-12
Springer Nature
scimago Q4
SJR: 0.143
CiteScore: 0.7
Impact factor: —
ISSN: 18761100, 18761119
Abstract
The rapid expansion of Internet of Things (IoT) applications necessitates the utilization of efficient Low Power Wide Area Network (LPWAN) technologies. Among these technologies, Narrowband IoT (NB-IoT) has emerged as a highly promising solution due to its energy efficiency, long-range communications, and anticipated scalability. In this study, we conducted simulations to examine the impact of various factors on energy usage in NB-IoT devices. Taking into consideration the significance of energy efficiency in IoT devices, particularly in hard-to-reach locations, we study the effects of data compression on energy consumption. The obtained results revealed that implementing data compression techniques can significantly reduce energy consumption, specifically in areas with limited transmission coverage. Additionally, we study the benefits of expanding data transmission intervals to conserve energy. The findings of this paper emphasize the importance of adopting energy-efficient practices in the development of IoT technology.
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Kheir El Dine M. et al. Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission // Lecture Notes in Electrical Engineering. 2024. pp. 181-188.
GOST all authors (up to 50) Copy
Kheir El Dine M., Al Haj Hassan H., Nasser A., Zaki C., Moawad A., Mansour A. Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission // Lecture Notes in Electrical Engineering. 2024. pp. 181-188.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-031-48121-5_26
UR - https://link.springer.com/10.1007/978-3-031-48121-5_26
TI - Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission
T2 - Lecture Notes in Electrical Engineering
AU - Kheir El Dine, Mohamad
AU - Al Haj Hassan, Hussein
AU - Nasser, Abbass
AU - Zaki, Chamseddine
AU - Moawad, Azza
AU - Mansour, Ali
PY - 2024
DA - 2024/01/12
PB - Springer Nature
SP - 181-188
SN - 1876-1100
SN - 1876-1119
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2024_Kheir El Dine,
author = {Mohamad Kheir El Dine and Hussein Al Haj Hassan and Abbass Nasser and Chamseddine Zaki and Azza Moawad and Ali Mansour},
title = {Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission},
publisher = {Springer Nature},
year = {2024},
pages = {181--188},
month = {jan}
}