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Topology Optimisation of Wireless Sensor Networks

  • Wireless sensor networks are widely used in a variety of fields including industrial environments. In case of a clustered network the location of cluster head affects the reliability of the network operation. Finding of the optimum location of the cluster head, therefore, is critical for the design of a network. This paper discusses the optimisation approach, based on the brute force algorithm, in the context of topology optimisation of a cluster structure centralised wireless sensor network. Two examples are given to verify the approach that demonstrate the implementation of the brute force algorithm to find an optimum location of the cluster head.

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Metadaten
Document Type:Conference Object
Language:English
Author:Aye Min Thike, Sergey Lupin, Roustiam Chakirov, Yuriy Vagapov
Parent Title (English):MATEC Web of Conferences
Volume:82
Article Number:01010
Number of pages:6
ISSN:2261-236X
URN:urn:nbn:de:hbz:1044-opus-27672
DOI:https://doi.org/10.1051/matecconf/20168201010
Publisher:EDP Sciences
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2016/10/31
Copyright:© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0.
Funding:The paper has been supported by RFBR No 16-07-01055\165 "Adaptation of resource demanding algorithms to distributed computational environment".
Note:
2016 International Conference on Design, Mechanical and Material Engineering (D2ME 2016). Auckland, New Zealand, September 8-10, 2016
Departments, institutes and facilities:Fachbereich Ingenieurwissenschaften und Kommunikation
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Entry in this database:2016/11/15
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International