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Merging ant colony optimization based clustering and an imperialist competitive algorithm for spectrum management of a cognitive mobile ad hoc network
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
2013 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Next generation tactical military network will be based on mobile ad hoc networks (MANET). These networks require efficient spatial channel reuse in order to provide high spectral efficiency and this requires as well a stable network structure as an efficient channel assignment optimization method. In this paper ant colony optimization (ACO) and imperialist competitive algorithm (ICA) are merged in the cognitive manager for the combined clustering and channel assignment problem in a clustered based MANET. Ant colony optimization is used to choose the cluster head in an as advantageous way as possible. The used multi-objective function is defined to maximize the stability and scalability, minimize the number of clusters, and minimizing interference power in between clusters. The imperialist competitive algorithm is applied for solving the channel assignment problem. In this case the multi-objective function minimizes interference and maximizes the spectral efficiency.

Place, publisher, year, edition, pages
2013.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:hh:diva-19711OAI: oai:DiVA.org:hh-19711DiVA: diva2:556013
Conference
Wireless Innovation Forum Conference on Wireless Communications Technologies and Software Defined Radio, SDR-WInnComm 2013, Washington D.C., USA, 8-11 January, 2013
Available from: 2012-09-23 Created: 2012-09-23 Last updated: 2017-04-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
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