TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Sensor enhanced dual frequency RSSI distance estimation for low weight wireless sensor nodes
 
Options

Sensor enhanced dual frequency RSSI distance estimation for low weight wireless sensor nodes

Publikationstyp
Conference Paper
Date Issued
2019-12
Sprache
English
Author(s)
Duda, Niklas  
Weigel, Robert  
Kölpin, Alexander  orcid-logo
TORE-URI
http://hdl.handle.net/11420/6485
Volume
2019-December
Start Page
1325
End Page
1327
Article Number
9038327
Citation
Asia-Pacific Microwave Conference Proceedings, APMC: 9038327 (2019-12)
Contribution to Conference
Asia-Pacific Microwave Conference, APMC 2019  
Publisher DOI
10.1109/APMC46564.2019.9038327
Scopus ID
2-s2.0-85082993080
ISBN of container
978-172813517-5
In wireless sensor networks it can be critical to determine the distance of sensor nodes towards each other. While a simple RSSI free space loss distance estimation is quick to implement, it is prone to errors and can be highly inaccurate, especially when using antennas with high directivity. In this paper a new approach for use on small systems with two antennas in two frequency bands is proposed. It is shown how the antenna gain directivity can be compensated and thus more precise measurements of the free space loss becomes possible.
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback