Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Cluster of IoT Sensors for Smart Cities: Impact of the Communication Infrastructure over Computational Performance
Show others and affiliations
2019 (English)In: Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2019, article id 8706079Conference paper, Published paper (Refereed)
Abstract [en]

The Smart City (SC) paradigm is based on the integration of Information and Communication Technology (ICT) into the urban asset, for the optimal management of the energies and resources. The Internet of Thing (IoT) technology seems the proper solution to achieve this target, thanks to its capability to abstract the object in the real world. The deployment of IoT devices at different level in urban infrastructures is causing the presence of thousands of intelligent devices, large part of them with unused computational capabilities. Such devices could be integrated in a cluster in order to share the unused resources with other devices with limited computational resources. The use of a cluster of IoT Sensors has several benefits, including, but not limited to: high availability, sharing of computational resources, reduced response time with the respect of centralized cloud computing solution. The main bottleneck of this approach is represented by the communication infrastructure, typically based on wireless connection and, thus with a limited available bandwidth. The aim of the work related to this paper is to analyze the impact the communication infrastructure has on computational performance of a cluster of IoT sensors. An experimental set-up for the characterization of the performance of a cluster of low-cost off-the-shelf devices has been described. The experimental validation highlighted as the network infrastructure is loaded only during the data transfer and the maximum network load, with a cluster of ten IoT nodes is approximately 2 Mb/s with the considered benchmark. © 2019 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. article id 8706079
Keywords [en]
Cluster of Sensors, Computing performance analysis, Distributed computing, Edge Computing, Internet of Thing, Smart City, Software Defined Networking, Wireless Sensor Network, Bandwidth, Cluster computing, Data transfer, Distributed computer systems, Electric fault currents, Information management, Wireless sensor networks, Communication infrastructure, Computational capability, Computational performance, Computational resources, Computing performance, Experimental validations, Information and Communication Technologies, Internet of thing (IOT), Internet of things
Identifiers
URN: urn:nbn:se:miun:diva-41479DOI: 10.1109/SAS.2019.8706079ISI: 000474727000078Scopus ID: 2-s2.0-85065922024ISBN: 9781538677131 (print)OAI: oai:DiVA.org:miun-41479DiVA, id: diva2:1534305
Conference
SAS 2019 - 2019 IEEE Sensors Applications Symposium,14th IEEE Sensors Applications Symposium, SAS 2019; Sophia Antipolis; France; 11 March 2019 through 13 March 2019
Available from: 2021-03-05 Created: 2021-03-05 Last updated: 2021-04-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Sisinni, E.

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf