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Placement of Smart Mobile Access Points in Wireless Sensor Networks and Cyber-Physical Systems using Fog Computing
KTH, School of Information and Communication Technology (ICT), Electronics and Embedded Systems. Univ. of Turku, Finland.
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2016 (English)In: Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016, IEEE conference proceedings, 2016, 680-689 p.Conference paper, Published paper (Refereed)
Abstract [en]

Increasingly sophisticated, complex, and energy-efficient cyber-physical systems and wireless sensor networks are emerging, facilitated by recent advances in computing and sensor technologies. Integration of cyber-physical systems and wireless sensor networks with other contemporary technologies, such as unmanned aerial vehicles and fog or edge computing, enable creation of completely new smart solutions. We present the concept of a Smart Mobile Access Point (SMAP), which is a key building block for a smart network, and propose an efficient placement approach for such SMAPs. SMAPs predict the behavior of the network, based on information collected from the network, and select the best approach to support the network at any given time. When needed, they autonomously change their positions to obtain a better configuration from the network performance perspective. Therefore, placement of SMAPs is an important issue in such a system. Initial placement of SMAPs is an NP problem, and evolutionary algorithms provide an efficient means to solve it. Specifically, we present a parallel implementation of the imperialistic competitive algorithm and an efficient evaluation or fitness function to solve the initial placement of SMAPs in the fog computing context.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. 680-689 p.
Keyword [en]
smart mobile access point, fog computing, wireless sensor networks, cyber-physical systems, multi-objective optimization, evolutionary computing, parallel approaches, ICA, parallel programming, multi-population, placement
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-203193DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0112ISI: 000393306500089Scopus ID: 2-s2.0-85013218837ISBN: 978-1-5090-2771-2 (print)OAI: oai:DiVA.org:kth-203193DiVA: diva2:1081463
Conference
13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016, UICToulouse, France, 18 July 2016 through 21 July 2016
Note

QC 20170314

Available from: 2017-03-14 Created: 2017-03-14 Last updated: 2017-06-09Bibliographically approved

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