• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Impact of link quality estimation errors on routing metrics for wireless sensor networks
 
  • Details
  • Full
Options
2009
Presentation
Title

Impact of link quality estimation errors on routing metrics for wireless sensor networks

Abstract
Link quality-based routing protocols are often utilized in wireless sensor networks. Link quality estimation algorithms are used to retrieve information about the link quality, which is evaluated to choose the best available path. Concurrently, recent work has revealed severe inaccuracies in link quality estimations provided by modern short-range wireless devices. The sensitivity of routing protocols to such errors in the estimation of the link quality has not been considered so far. In this paper, we define two main classes of link qualitybased routing metrics and examine these classes. We present a method to estimate the sensitivity of routing metrics to link quality estimation errors and confirm this method by simulations. Some routing metrics are surprisingly strong influenced by estimation errors. This finding questions the applicability of these protocols in large-scale networks and necessitates that the impact of link quality estimation errors is explicitly regarded in future developments of link-quality-based routing metrics to create more robust metrics. Our proposed method to estimate the sensitivity of routing metrics on link quality estimation errors shows to be helpful here.
Author(s)
Krogmann, M.
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK  
Heidrich, M.
Fraunhofer-Institut für Eingebettete Systeme und Kommunikationstechnik ESK  
Tian, T.
Infineon Technologies
Stromberg, G.
Infineon Technologies
Hümer, M.
Universität Klagenfurt
Conference
International Conference on Intelligent Sensors, Sensot Networks and Information Processing (ISSNIP) 2009  
Language
English
ESK  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024