LoRaWAN represents a promising Internet of things (IoT) technology that has recently gained high a market and academic interest. With the recent advances in sensory manufacturing, the number of connected devices increases dramatically and thus, a reliable IoT system able to provide the coverage for such system becomes a high demand. This paper proposed a reliable LoRaWAN architecture for ultra-dense IoT networks. The mobile edge computing is proposed to provide the computing and energy resources at the edge of the access LoRa network, while the software defined networking (SDN) is deployed at the core network to manage and control the whole network traffic. The novelty of the proposed system comes from the deploying of a distributed version of the SDN controller at the edge servers, to reduce the load on the core network. The system is simulated for various simulation scenarios and the results validate the proposed structure for ultra-dense and ultra-low latency IoT networks.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
EditorsOlga Galinina, Sergey Andreev, Yevgeni Koucheryavy, Sergey Balandin
PublisherSpringer Nature
Pages233-242
Number of pages10
ISBN (Print)9783030308582
DOIs
StatePublished - 2019
Event19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019 - St. Petersburg, Russian Federation
Duration: 26 Aug 201928 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11660 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019
Country/TerritoryRussian Federation
CitySt. Petersburg
Period26/08/1928/08/19

    Research areas

  • Dense deployment, Latency, LoRaWAN, MEC, SDN

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 87324937