TY - CHAP
T1 - An Overview on LoRaWAN Technology Simulation Tools
AU - Almuhaya, Mukarram A.M.
AU - Jabbar, Waheb A.
AU - Sulaiman, Noorazliza
AU - Sulaiman, A. H.A.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Low-Power Wide Area Networks (LPWAN) technologies are playing a pivotal role in the IoT applications owing to their capability to meet the keys IoT requirements, i.e., long-range, low cost, small data volumes, massive devices number, and low energy consumption. The creation of new public and private LoRaWAN networks necessitates the use of avoiding node limits and collision prevention measures. Designers of IoT systems confront difficulty in determining the scalability of a given technology, with an emphasis on unlicensed frequency bandwidth (ISM) transmission in densely populated locations. However, picking the best simulation software might be a challenge. To provide a conceptual overview of seven LoRaWAN simulation tools, this paper outlines their key characteristics and the sorts of experiments they support. LoRaWAN simulators, resource utilization, and performance evaluation are all covered in-depth in this report. Furthermore, we classify and compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network emulators that have been developed recently. This article will be used to help other researchers decide whether LoRaWAN simulation tool is best for their specific requirements.
AB - Low-Power Wide Area Networks (LPWAN) technologies are playing a pivotal role in the IoT applications owing to their capability to meet the keys IoT requirements, i.e., long-range, low cost, small data volumes, massive devices number, and low energy consumption. The creation of new public and private LoRaWAN networks necessitates the use of avoiding node limits and collision prevention measures. Designers of IoT systems confront difficulty in determining the scalability of a given technology, with an emphasis on unlicensed frequency bandwidth (ISM) transmission in densely populated locations. However, picking the best simulation software might be a challenge. To provide a conceptual overview of seven LoRaWAN simulation tools, this paper outlines their key characteristics and the sorts of experiments they support. LoRaWAN simulators, resource utilization, and performance evaluation are all covered in-depth in this report. Furthermore, we classify and compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network emulators that have been developed recently. This article will be used to help other researchers decide whether LoRaWAN simulation tool is best for their specific requirements.
KW - IoT
KW - LPWAN
KW - LoRa
KW - LoRa simulation tools
KW - LoRaWAN
UR - http://www.scopus.com/inward/record.url?scp=85127892411&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127892411&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-98741-1_29
DO - 10.1007/978-3-030-98741-1_29
M3 - Chapter
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 345
EP - 358
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -