DOI

Internet of things (IoT) development has already become one of the main directions in the telecommunications and the information and communication system development as a whole. Promising solutions in the communication networks evolution, such as the latest LTE standards, concepts, and solutions for building 5G networks critical, include this component as an integral part of a promising communication network. There are various modern solutions for building IoT networks, and Long-Range Wide Area Network (LoRaWAN) is one of them. LoRaWAN is a technical solution for the physical and partially link network layers. The paper proposes an algorithm for ensuring traffic quality of service, latency, and data loss, as well as to provide an effectiveway of energy consumption. We impalement a prototype for Long Range (LoRa) based edge computing.

Язык оригиналаанглийский
Название основной публикацииInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 20th International Conference, NEW2AN 2020 and 13th Conference, ruSMART 2020, Proceedings
РедакторыOlga Galinina, Sergey Andreev, Sergey Balandin, Yevgeni Koucheryavy
ИздательSpringer Nature
Страницы11-20
Число страниц10
ISBN (печатное издание)9783030657253
DOI
СостояниеОпубликовано - 2020
Событие20th 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, Российская Федерация
Продолжительность: 26 авг 202028 авг 2020

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12525 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция20th 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
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg
Период26/08/2028/08/20

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 87324390