An improved DV-Hop localization algorithm based on evolutionary algorithms

Mahshid Mehrabi (), Hassan Taheri () and Pooria Taghdiri
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Mahshid Mehrabi: Amirkabir University of Technology
Hassan Taheri: Amirkabir University of Technology
Pooria Taghdiri: Amirkabir University of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2017, vol. 64, issue 4, No 5, 639-647

Abstract: Abstract Localization is one of the most important issues in wireless sensor networks and designing accurate localization algorithms is a common challenge in recent researches. Among all localization algorithms, DV-Hop attracts more attention due to its simplicity; so, we use it as a basis for our localization algorithm in order to improve accuracy. The various evolutionary algorithms such as Genetic, Shuffled Frog Leaping and Particle Swarm Optimization are employed in different phases of the main DV-Hop localization algorithm. Simulation results prove that our proposed method decreases the localization error efficiently without additional hardware.

Keywords: Localization; Wireless sensor networks; DV-Hop; Genetic algorithm; Shuffled frog leaping algorithm; Particle swarm optimization algorithm (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11235-016-0196-9

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