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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.
Show others and affiliations
2016 (English)In: 2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), IEEE conference proceedings, 2016, 680-689 p.Conference 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.2016.122ISI: 000393306500089ISBN: 978-1-5090-2771-2 OAI: oai:DiVA.org:kth-203193DiVA: diva2:1081463
Conference
13th IEEE Int Conf on Ubiquitous Intelligence and Comp/13th IEEE Int Conf on Adv and Trusted Comp/16th IEEE Int Conf on Scalable Comp and Commun/IEEE Int Conf on Cloud and Big Data Comp/IEEE Int Conf on Internet of People/IEEE Smart World Congress, JUL 18-21, 2016, Toulouse, FRANCE
Note

QC 20170314

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

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Citation style
  • apa
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