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”

Adaptive Distance Estimation Based on RSSI in 802.15.4 Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU107025" target="_blank" >RIV/00216305:26220/13:PU107025 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Adaptive Distance Estimation Based on RSSI in 802.15.4 Network

  • Original language description

    This paper deals with the distance estimation issue in 802.15.4 wireless sensor networks. On a basis of signal strength of received frames a distance between two sensor nodes is estimated. Estimation is done by using the log-normal shadowing radio propagation model (LNSM). Basic problems of signal strength based systems are variation of RSSI parameter and correct calibration of coefficients for the LNSM model. For distance estimation in wireless networks, static and dynamic methods of calibration have been already introduced. Static cali-bration has significant drawback in adaptation to the dynamical environment changes. The proposed work deals with an experimental validation of dynamic calibration method for distance estimation in wireless sensor networks. This method for dynamic estimation of radio environment parameters for LNSM results in the significant improvements in the distance estimation accuracy in comparison with the known static methods.

  • Czech name

    Adaptive Distance Estimation Based on RSSI in 802.15.4 Network

  • Czech description

    This paper deals with the distance estimation issue in 802.15.4 wireless sensor networks. On a basis of signal strength of received frames a distance between two sensor nodes is estimated. Estimation is done by using the log-normal shadowing radio propagation model (LNSM). Basic problems of signal strength based systems are variation of RSSI parameter and correct calibration of coefficients for the LNSM model. For distance estimation in wireless networks, static and dynamic methods of calibration have been already introduced. Static cali-bration has significant drawback in adaptation to the dynamical environment changes. The proposed work deals with an experimental validation of dynamic calibration method for distance estimation in wireless sensor networks. This method for dynamic estimation of radio environment parameters for LNSM results in the significant improvements in the distance estimation accuracy in comparison with the known static methods.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Radioengineering

  • ISSN

    1210-2512

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    1162-1168

  • UT code for WoS article

  • EID of the result in the Scopus database