Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging LoRaWAN protocol into IoT systems, it will help to optimize energy consumption, capacity, cost, and coverage of the system. This study proposes a scheme for modeling the LoRAWANnetwork based on the availability of several independent radio frequency channels. As part of this approach, we also offer a model and calculation method. Numerical results show the efficacy of our proposed scheme.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings
EditorsOlga Galinina, Sergey Andreev, Sergey Balandin, Yevgeni Koucheryavy
PublisherSpringer Nature
Pages317-325
Number of pages9
ISBN (Print)9783030657253
DOIs
StatePublished - 2020
Event20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020 - St. Petersburg, Russian Federation
Duration: 26 Aug 202028 Aug 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12525 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020 and 13th Conference on the Internet of Things and Smart Spaces, ruSMART 2020
Country/TerritoryRussian Federation
CitySt. Petersburg
Period26/08/2028/08/20

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • IoT, LoRaWAN, Radiofrequency, Traffic distribution

ID: 87324294