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MobiFog: Mobility Management Framework for Fog-assisted IoT Networks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5590-0784
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2419-2735
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2019 (English)In: IEEE Global Conference on Internet of Things GCIoT'19, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Mobility is becoming a challenging issue in upcoming IoT applications, where it is crucial to employ mobile entities. Patients with sensors attached to their body in health monitoring application, AGVs in industrial monitoring and factory automation applications, cars with several sensing devices in vehicular applications are a few examples of use cases with the need for mobile nodes. In parallel, Fog computing has revolutionized network architecture, while enabling local processing of measurements, and reducing bandwidth overhead, which results in a more reliable system and real-time support. However, mobility management is a missing framework within the mobile IoT networks with Fog computing architecture. This paper provides a simple and generic seamless handoff model, dubbed as MobiFog, where it addresses the handoff mechanism with zero delay, while providing high reliability.

Place, publisher, year, edition, pages
2019.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45945OAI: oai:DiVA.org:mdh-45945DiVA, id: diva2:1370796
Conference
IEEE Global Conference on Internet of Things GCIoT'19, 04 Dec 2019, Dubai, United Arab Emirates
Projects
Future factories in the CloudMobiFog: mobility management in Fog-assisted IoT networksHealth5G: Future eHealth powered by 5GFlexiHealth: flexible softwarized networks for digital healthcareAvailable from: 2019-11-18 Created: 2019-11-18 Last updated: 2019-11-18Bibliographically approved

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Fotouhi, HosseinVahabi, MaryamBjörkman, Mats

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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