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. Managing your trees: Insights from a metropolitan-scale low-power wireless network
 
Options

Managing your trees: Insights from a metropolitan-scale low-power wireless network

Publikationstyp
Conference Paper
Date Issued
2014-04
Sprache
English
Author(s)
Fu, Zhang
Landsiedel, Olaf  
Almgren, Magnus  
Chalmers University of Technology  
Papatriantafilou, Marina  
TORE-URI
https://hdl.handle.net/11420/53918
Start Page
664
End Page
669
Article Number
6849310
Citation
Proceedings - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014: 6849310, 664-669
Contribution to Conference
IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014  
Publisher DOI
10.1109/INFCOMW.2014.6849310
Scopus ID
2-s2.0-84904490567
Publisher
IEEE
ISBN
978-1-4799-3089-0
Low-power wireless, such as IEEE 802.15.4, is envisioned as one key technology for wireless control and communication. In the context of the Advanced Metering Infrastructure (AMI), it serves as an energy-efficient communication technology for both communications at building-scale networks and city-scale networks. Understanding real-world challenges and key properties of 802.15.4 based networks is an essential requirement for both the research community and practitioners: When deploying and operating low-power wireless networks at metropolitan-scale, a deep knowledge is essential to ensure network availability and performance at production-level quality. Similarly, researchers require realistic network models when developing new algorithms and protocols. In this paper, we present new and real-world insights from a deployed metropolitan-scale low-power wireless network: It includes 300,000 individual wireless connected meters and covers a city with roughly 600,000 inhabitants. Our findings, for example, help to estimate real-world parameters such as the typical size of routing trees, their balance, and their dynamics over time. Moreover, these insights facilitate the understanding and the realistic calibration of simulation models in key properties such as reliability and throughput.
DDC Class
600: Technology
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