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Overlay Enhanced Mobility for the Internet of Things
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.ORCID iD: 0000-0002-1342-0966
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.ORCID iD: 0000-0003-0873-7827
2015 (English)In: Journal of Networks, E-ISSN 1796-2056, Vol. 10, no 7, p. 420-430Article in journal (Refereed) Published
Abstract [en]

One of the major challenges to realize the Internet of Things is to support IP mobility for the large amount of connected entities when they move between different locations and access methods. Current solutions for mobility are host centric, requiring support from the infrastructure, or breaks backwards compatibility, which will take a long time or high economic motivation to implement. Solutions for context information exchange are created for specific, small, or localized scenarios with centralized coordination that do not scale well. There is therefore a need for a solution which both scales well, and support IP mobility, without additional demands on current or future Internet infrastructure.We propose the use of a dual-overlay network structure for both information dissemination and as an alternative to current IP mobility technologies. It separates identities from location by introducing a second overlay network where the identity-to-location association is stored. We show analytically that the proposed solution provide logarithmic latency for localization and reduces the overall workload when the number of sensors per host increases beyond seven, with a workload reduction of 15 percentage points at fifteen sensors per host.

Place, publisher, year, edition, pages
2015. Vol. 10, no 7, p. 420-430
Keywords [en]
Internet of Things; Mobility; Overlay Network; Performance Measurement; Analytical Approach
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-25840Local ID: STCOAI: oai:DiVA.org:miun-25840DiVA, id: diva2:851763
Available from: 2015-09-07 Created: 2015-09-07 Last updated: 2023-10-03Bibliographically approved
In thesis
1. Resource consumption in a distributed Internet of Things: Examining energy consumption, latencies and workload for timely data delivery and lookup
Open this publication in new window or tab >>Resource consumption in a distributed Internet of Things: Examining energy consumption, latencies and workload for timely data delivery and lookup
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2015. p. 82
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 233
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-26792 (URN)STC (Local ID)978-91-88025-45-6 (ISBN)STC (Archive number)STC (OAI)
Public defence
2015-11-25, 10:00
Available from: 2016-01-04 Created: 2016-01-04 Last updated: 2016-12-23Bibliographically approved

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Kardeby, VictorJennehag, UlfGidlund, Mikael

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CiteExportLink to record
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Citation style
  • apa
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