All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

An Adaptive PSO-based sink node localization approach forwireless sensor networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099064" target="_blank" >RIV/61989100:27240/16:86099064 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-29504-6_62" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29504-6_62</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-29504-6_62" target="_blank" >10.1007/978-3-319-29504-6_62</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Adaptive PSO-based sink node localization approach forwireless sensor networks

  • Original language description

    Localization in Wireless Sensor Networks (WSNs) is the process of estimating sensors' positions. Localization have been used for identifying: geographic routing, network coverage, network connectivity, object tracking, and other WSNs-based techniques. Many protocols have been proposed as solutions for the localization problem. However, still some protocols need more efforts such as; the Topology Control protocols (TC). These protocols seeking to reduce the number of active nodes/links without any prior knowledge about the nodes' physical positions. Therefore, this paper proposes an optimized approach to determine the best location for a sink node within a topology control protocol using the Adaptive Particle Swarm Optimization (APSO). The evaluation matrix of the proposed approach is based on the number of active nodes, the time intervals for constructing topologies, and the operational lifetime of the network. The proposed approach was tested against the performance of the standard PSO (SPSO). The simulation results show that the APSO technique surpasses the SPSO and it provides the best lifetime for a substantially longer network's operation time. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 427

  • ISBN

    978-3-319-29503-9

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    679-688

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Paříž

  • Event date

    Sep 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article