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Survey of Simulation Tools for Sensor Networks

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Noninteractive, data and event centric applications ... Mantis. Contiki. SOS. ikom - ComNets. Other commercial platforms. Cube. Phidgets. ikom - ComNets ... – PowerPoint PPT presentation

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Title: Survey of Simulation Tools for Sensor Networks


1
Survey of Simulation Tools for Sensor Networks
  • Presentation 1
  • 22/05/2006
  • Shaoping,Yuan

2
WSNWireless Sensor Network
  • Noninteractive, data and event centric
    applications
  • Application specific
  • Deployed in uncontrolled, often inaccessible
  • Energy usage must be carefully managed
  • Closed environment, sensors rarely change
  • Fixed sensors but dynamic topology
  • Some need for real time delivery and time
    synchronization

3
Challenges
  • Distributed processing
  • Low bandwidth communication
  • Large scale coordination
  • Real time computation

4
Operation system support
  • TinyOS
  • Mantis
  • Contiki
  • SOS

5
Other commercial platforms
  • Cube
  • Phidgets

6
TOSSIM
  • Emulator run actual application code
  • Component-based, discrete event simulator
  • Focus on TinyOS and its execution
  • Simulate at bit-level
  • Four key points scalability, completeness,
    fidelity, bridging
  • Static simulator
  • TinyViz a Java visualzation and actuation
    environment for TOSSIM

7
Problems of TOSSIM
  • Probabilistic bit error model leads to
    inaccuracies and reduces the effectiveness in
    anylyzing low level protocols
  • Built directly from TinyOS code
  • API application programming interface

8
TOSSIM (with MULE)Mobile Ubiquitous LAN
Extensions
  • Motivation sensors may be spread over a large
    geographical area resulting in a sparse network
  • Possible approaches install multiple base
    stations to relay the data from sensor nodes in
    their coverage area or deploy enough low-power
    relay nodes to form a dense connected network
  • Advantage large power saving
  • Disadvantage increased latency
  • Conclusion MULE archtecture is suitable for a
    rich set of environmental monitoring applications
    in urban environments, both in low and high
    mobility scenarios

9
OPNET
  • Simulator
  • Discrete event, object-oriented
  • Modeling and simulatio of ultra large networks
  • Hierachical model define each aspect of the
    system
  • Top level network model, topology is
    designed
  • Next level node model, data flow models are
    defined
  • Third level process editor, handlles control
    flow models
  • Fourth level parameter editor, to support
    the three higher
  • layers

10
Problems of OPNET
  • Scalability
  • Not enough protocols available
  • Only available in commercial form

11
Comparision of different tools
12
Comparision of different tools
13
Comparision of different tools
14
Comparision of different tools
15
Others
  • Avrora a cycle-accuracy instruction-level sensor
    network simulator, be able to measure detailde
    time-critical phenomena
  • Emstar an environment for developing wireless
    embedded system software
  • SENS a sensor, environment and network
    simulator
  • WSNS
  • Ptolemy
  • WISENES
  • Sunflower

16
Reference
  • www.elet.polimi.it/picco
  • http//ieeexplore.ieee.org
  • http//en.wikipedia.org
  • http//www.binghamton.edu/
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