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Optimal Placement for Smart Mobile Access Points
Abo Akad Univ, Dept Informat Technol, Turku, Finland..
Abo Akad Univ, Dept Informat Technol, Turku, Finland..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2018 (English)In: 2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) / [ed] Wang, G Han, Q Bhuiyan, MZA Ma, X Loulergue, F Li, P Roveri, M Chen, L, 2018, p. 1659-1667Conference paper, Published paper (Refereed)
Abstract [en]

Recently Smart Mobile Access Point (SMAP) based architectures have emerged as a promising solution for creating smart solutions supporting monitoring of special phenomena. SMAP allow us to predict communication activities in a system using the information collected from the network, and select the best approach to support the network at any given time. To improve the network performance, SMAPs can autonomously change their positions. They communicate with each other and carry out distributed computing tasks, constituting a mobile fog-computing platform. However, the communication cost becomes a critical factor. In this paper, we propose a compound method to select the best near-optimal placement of SMAPs with the goal to maximize the monitoring coverage and to minimize the communication cost. Our approach combines a parallel implementation of the Imperialist Competitive Algorithm (ICA) with Kruskal's Algorithm.

Place, publisher, year, edition, pages
2018. p. 1659-1667
Keywords [en]
Smart mobile access point, fog computing, wireless sensor networks, cyber-physical systems, greedy approach, multi-objective optimization, evolutionary computing, parallel approaches, ICA, parallel programming, multi-population, placement
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-42883DOI: 10.1109/SmartWorld.2018.00283ISI: 000458742900247Scopus ID: 2-s2.0-85060292319OAI: oai:DiVA.org:mdh-42883DiVA, id: diva2:1294544
Conference
EEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Guangzhou, PEOPLES R CHINA, NOV 07-11, 2018
Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-04-02Bibliographically approved

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Daneshtalab, Masoud

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