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Data collection and node counting by opportunistic communication
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-9176-3454
2019 (English)In: 2019 IFIP Networking Conference, IFIP Networking 2019, Institute of Electrical and Electronics Engineers Inc. , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Ever more powerful mobile devices are nowadays capable of collectively carrying out reasonably demanding computational tasks without offloading the processing to an edge server or a distant cloud-computing service. In this work, we explore such distributed computing and study how it is affected by the mobility as well as the number of nodes that collaborate. We choose distributed counting of a number of nodes in an enclosed area as application. Such application is useful for estimating attendance at events and measuring occupancy for facility management, as needed for monitoring of crowdedness with respect to safety and evacuation, climate control and comfort. For this application, we are interested in determining the time until all nodes know the correct number of nodes in the space where they reside. Our study shows the effect of mobility on the distributed process. We find that the process of collecting data opportunistically from a closed set of nodes is well described by empirical laws that we derive. We discuss the results and suggest further work needed to understand opportunistic computation and to develop it as a new model of computation among collectives of mobile nodes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019.
Keywords [en]
counting, data collection, distributed computing, opportunistic computing, Distributed computer systems, Office buildings, Cloud computing services, Distributed process, Facility management, Model of computation, Opportunistic communications, Data acquisition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-268566DOI: 10.23919/IFIPNetworking.2019.8816851Scopus ID: 2-s2.0-85072810148ISBN: 9783903176164 (print)OAI: oai:DiVA.org:kth-268566DiVA, id: diva2:1422100
Conference
2019 IFIP Networking Conference, IFIP Networking 2019, 20 May 2019 through 22 May 2019
Note

QC 20200407

Available from: 2020-04-07 Created: 2020-04-07 Last updated: 2020-04-07Bibliographically approved

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Kouyoumdjieva, Sylvia T.

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
  • html
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  • asciidoc
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