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Self Configuration in Wireless Sensor Networks

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SC Method: Multidimensional Scaling (MDS) for estimating the spatial position of ... Linnyer B. Ruiz, Thais R.M. Braga, Fabricio A. Silva, Helen P. Assuncao, Jose ... – PowerPoint PPT presentation

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Title: Self Configuration in Wireless Sensor Networks


1
Self Configuration in Wireless Sensor Networks
3rd Mini-Project Seminar Meeting Fahad Munawar
Jan July 18, 2006
2
Overview of the Past - Present
  • Past
  • Various Definitions of Self Configuration
  • Various Types of Networks used in Self
    Configuration
  • Challenges facing by Self Configuration
  • Management Application Phases
  • Parameters influencing Self Configuration
  • Present
  • Visualizing Self Configuration Classifications
    (Tabular Method) - Survey
  • Self Configuration Techniques
  • Simulation of SC

3
Visualizing Self Configuration Classifications
1/2
4
Visualizing Self Configuration Classifications
2/2
5
Self Configuration - Techniques
  • Can be Categorized as following
  • Integrated Techniques for self-assembly
  • Enable SC both at lower level layers in addition
    to higher levels such as distributed name spaces
  • Self-healing in deeply distributed Systems
  • Enable SC both at lower level layers in addition
    to higher levels such as distributed name spaces
  • Simple localized algorithms
  • Effects coordinated data collection and
    processing to achieve measurement aggregation or
    higher-level alert generation e.g. Structured
    network organization, directed diffusion
  • Protocol and System level Techniques
  • Enable energy-efficient way and used for
    designing robust operation

1b
6
Simulation
  • TOSSIM
  • TinyViz (GUI)

7
Future Tasks
  • Selection of a certain Self Configuration
    Technique
  • Implementation using a simulator (TOSSIM)

8
References (Papers and Journals)
  • 1. Adaptive Self-Configuring sEnsor Networs
    Topologies (ASCENT)
  • Alberto Cerpa and Deborah Estrin, University of
    California Los Angeles
  • 2. Scalable Coordination for WSNs
    Self-Configuring Localization Systems
  • Nirupama Bulusu, Deborahh Estrin, Lewis Girod,
    John Heidemann, University of California Los
    Angeles
  • 3. Self-Configuring Communication Service
    Module for Wearable Computers
  • Andreas Timm-Giel, Koojana Kuladinithi, Carmelita
    Görg, University of Bremen
  • 4. GS3 Scalable self-configuration and
    self-healing in WSNs
  • Hongwei Zhang, Anish Arora
  • 5. On the Design of a Self-Managed WSN
  • Linnyer B. Ruiz, Thais R.M. Braga, Fabricio A.
    Silva, Helen P. Assuncao, Jose Marcos S.
    Nogueira, and Antonio A.F. Loureiro, Federal
    University of Minas Gerais
  • 6. The Design Space of Wireless Sensor Networks
  • Kay Römer and Friedemann Mattern, Institue for
    Pervasive Computing ETH Zurich
  • 7. OPNET Simulation of a Multi-hop
    Self-organizing WiSN
  • Yan Huang, Jian Huang, Lance Hester, Anthony
    Allen, Oleg Andric, Priscilla Chen, Bob ODea,
    Florida Comm Reserach Lab, Motorola Labs
  • 8. Model based Self Configuration for Quality
    of Service
  • Boudewijn R. Haverkkort Department of Electrical
    Engineering, Mathematics and Computer Science,
    Chair for Design and Analysis of Comm System, AE
    Enschede Netherlands
  • 9. Self-Configuring Video-Sensor Networks
  • Doros Agathangelous, Benny P.L. Lo, Jeffrey L.
    Wang and Guang-Zhong Yang, Imperial College
    London, UK
  • 10. Localized Topology Generation Mechanisms
    for WSN
  • Congzhou Yhou and Bhaskar Krishnamachari,
    Department of Electrical Engineering, University
    of California, LA, USA

9
References (Web links)
  • 1b. http//www.circlemud.org
  • 2b. http//newton.nap.edu / html /
    embedded_everywhere / ch3 .html
  • 3b. http//www.scirus.com
  • 4b. http//www.tinyos.com
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