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Network Coverage Optimization Strategy in Wireless Sensor Networks Based on Particle Swarm Optimization
University of Gävle, Faculty of Engineering and Sustainable Development.
University of Gävle, Faculty of Engineering and Sustainable Development.
2011 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

Wireless sensor network is an intelligent network system which has the self-monitoring functionality. It consists of many low-cost, low-power and small-sized sensor nodes that can communicate with each other to perform sensing and data processing. Acting as an important role in the system, network coverage usually has a huge effect on the system’s lifetime.In this thesis, particle swarm algorithm was used as a method to optimize the coverage in the coverage of wireless sensor network. A network coverage optimization strategy based on particle swarm optimization was proposed and MATLAB was used as a tool to apply the algorithm. The model used in this thesis is the probability sensing model and the coverage type is area coverage. Effectiveness of the algorithm is proved by simulation. The simulation of the algorithm suggests the optimal deployment can be determined if a certain parameter which in this thesis is the sensing range is given.

Place, publisher, year, edition, pages
2011. , 21 p.
Keyword [en]
wireless sensor network, particle swarm algorithm, optimization
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:hig:diva-9764Archive number: Tex110531OAI: oai:DiVA.org:hig-9764DiVA: diva2:429760
Subject / course
Electronics
Educational program
Electronics – bachelor’s programme (in eng)
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-07-06 Created: 2011-07-05 Last updated: 2011-07-06Bibliographically approved

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Control Engineering

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf