Demo: Emulating 5G-Ready Mobile IoT Services

Moysis Symeonides, Demetris Trihinas, George Pallis, Marios D. Dikaiakos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The majority of IoT devices disseminate harvested data through the internet for analysis by cloud services. However, emerging applications, such as autonomous vehicle navigation, are impacted by the Round-Trip-Time between the IoTs and cloud. 5G networks and edge computing promise shorter RTTs by bringing compute and network resources closer to IoT. Network slicing is a key enabler for 5G networks, dividing a physical network among a variety of services under their individual needs. However, the design of a network slice impacts the performance of the mobile IoT applications with owners puzzled among the numerous slice configurations and options. For instance, the placement of network access points and available compute nodes, the wireless protocols, and the midhaul and backhaul QoS are crucial factors impacting service performance with the mobility of entities constituting this issue even more daunting.

Original languageEnglish
Title of host publicationProceedings - 7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-114
Number of pages2
ISBN (Electronic)9781665496414
DOIs
Publication statusPublished - 2022
Event7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022 - Virtual, Online, Italy
Duration: 3 May 20226 May 2022

Publication series

NameProceedings - 7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022

Conference

Conference7th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2022
Country/TerritoryItaly
CityVirtual, Online
Period3/05/226/05/22

Keywords

  • Edge Computing
  • Mobility
  • Network Slicing

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