An adaptive edge router enabling internet of things

Mirjami Jutila

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)

Abstract

The vision of future networking is that not only people but also all things, services and media will be connected and integrated, creating an Internet of Everything (IoE). Internet of Things (IoT) systems aim to connect and scale billions of devices in various domains such as transportation, industry, smart home/city, medical services and energy systems. Different wireless and wired technologies link sensors and systems together, through wireless access points, gateways and routers that in turn connect to the web and cloud-based intelligence. IoT architectures make great demands on network control methods for the efficient management of massive amounts of nodes and data. Therefore, some of the cloud's management tasks should be distributed around the edges of networked systems, utilizing fog computing to control and manage e.g. network resources, quality, traffic prioritizations and security. In this work we present adaptive edge computing solutions based on regressive admission control (REAC) and fuzzy weighted queueing (FWQ) that monitor and react to network Quality of Service (QoS) changes within heterogeneous networks, and in a vehicular use case scenario utilizing IEEE 802.11p technology. These adaptive solutions are providing more stable network performance and optimizing the network path and resources.
Original languageEnglish
JournalIEEE Internet of Things Journal
Issue number99
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fingerprint

Routers
Heterogeneous networks
Fog
Network performance
Access control
Telecommunication links
Quality of service
Internet
Sensors
Industry
Internet of things

Keywords

  • FWQ
  • Internet of Things
  • adaptive queuing
  • fog computing
  • fuzzy scheduler
  • regressive admission control

Cite this

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title = "An adaptive edge router enabling internet of things",
abstract = "The vision of future networking is that not only people but also all things, services and media will be connected and integrated, creating an Internet of Everything (IoE). Internet of Things (IoT) systems aim to connect and scale billions of devices in various domains such as transportation, industry, smart home/city, medical services and energy systems. Different wireless and wired technologies link sensors and systems together, through wireless access points, gateways and routers that in turn connect to the web and cloud-based intelligence. IoT architectures make great demands on network control methods for the efficient management of massive amounts of nodes and data. Therefore, some of the cloud's management tasks should be distributed around the edges of networked systems, utilizing fog computing to control and manage e.g. network resources, quality, traffic prioritizations and security. In this work we present adaptive edge computing solutions based on regressive admission control (REAC) and fuzzy weighted queueing (FWQ) that monitor and react to network Quality of Service (QoS) changes within heterogeneous networks, and in a vehicular use case scenario utilizing IEEE 802.11p technology. These adaptive solutions are providing more stable network performance and optimizing the network path and resources.",
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An adaptive edge router enabling internet of things. / Jutila, Mirjami.

In: IEEE Internet of Things Journal, No. 99, 2016.

Research output: Contribution to journalArticleScientificpeer-review

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