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Hierarchal Placement of Smart Mobile Access Points in Wireless Sensor Networks Using Fog Computing
University of Turku, Finland.
University of Turku, Finland.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Royal Institute of Technology, Sweden.
University of Turku, Finland.
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2017 (English)In: Proceedings - 2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, 176-180 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recent advances in computing and sensor technologies have facilitated the emergence of increasingly sophisticated and complex cyber-physical systems and wireless sensor networks. Moreover, integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles (i.e. drones) and fog computing, enables the creation of completely new smart solutions. By building upon the concept of a Smart Mobile Access Point (SMAP), which is a key element for a smart network, we propose a novel hierarchical placement strategy for SMAPs to improve scalability of SMAP based monitoring systems. SMAPs predict communication behavior based on information collected from the network, and select the best approach to support the network at any given time. In order to improve the network performance, they can autonomously change their positions. Therefore, placement of SMAPs has an important role in such systems. Initial placement of SMAPs is an NP problem. We solve it using a parallel implementation of the genetic algorithm with an efficient evaluation phase. The adopted hierarchical placement approach is scalable, it enables construction of arbitrarily large SMAP based systems. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. 176-180 p.
Series
Euromicro Conference on Parallel Distributed and Network-Based Processing, ISSN 1066-6192
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35634DOI: 10.1109/PDP.2017.27ISI: 000403395100022Scopus ID: 2-s2.0-85019635352ISBN: 9781509060580 (print)OAI: oai:DiVA.org:mdh-35634DiVA: diva2:1107221
Conference
25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017, 6 March 2017 through 8 March 2017
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-07-06Bibliographically approved

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CiteExportLink to record
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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
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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