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Optimal smart mobile access point placement for maximal coverage and minimal communication
Åbo Akademi University, Turku, Finland.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Åbo Akademi University, Turku, Finland.
University of Turku, Turku, Finland.
2017 (English)In: CM International Conference Proceeding Series, Volume Part F130524, Association for Computing Machinery , 2017, Vol. Part F130524, article id a21Conference paper, Published paper (Refereed)
Abstract [en]

A selection of the optimal placements of the access points and sensors constitutes one of the fundamental challenges in the monitoring of spatial phenomena in wireless sensor networks (WSNs). Access points should occupy the best locations in order to obtain a sufficient degree of coverage with a low communication cost. Finding an optimal placement is an NP-hard problem that is further complicated by the real-world conditions such as obstacles, radiation interference etc. 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 combinesa parallel implementation of the Imperialist Competitive Algorithm (ICA) with a greedy method.The benchmarking of the proposed approach demonstrates its clear advantages in solving and optimizing the placement problem. 

Place, publisher, year, edition, pages
Association for Computing Machinery , 2017. Vol. Part F130524, article id a21
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37819DOI: 10.1145/3123779.3123799ISI: 000434851300021Scopus ID: 2-s2.0-85030327665ISBN: 9781450348430 (print)OAI: oai:DiVA.org:mdh-37819DiVA, id: diva2:1171077
Conference
5th European Conference on the Engineering of Computer-Based Systems, ECBS 2017; Larnaca; Cyprus; 31 August 2017 through 1 September 2017
Available from: 2018-01-05 Created: 2018-01-05 Last updated: 2018-07-27Bibliographically approved

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Daneshtalab, Masoud

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