temperature application based on directed diffusion
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Temperature Application based on Directed Diffusion. Ke Liu September 2003. Temperature Application. Code structure Attributes: the definition for the application Sensor: running on every end node Sink: running on the observer Environment Simulation Parent Class: Application/DiffApp.

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temperature application
Temperature Application
  • Code structure
    • Attributes: the definition for the application
    • Sensor: running on every end node
    • Sink: running on the observer
    • Environment Simulation
  • Parent Class: Application/DiffApp
basic attributes
Basic Attributes
  • Keys: used by the data exchanged in network
    • Temperature Key: for the temperature data
    • Location Keys: to track the position of reporting nodes
      • X Key
      • Y Key
    • Keys for CAN: to aggregate the received data
      • Covariance Key
      • Average temperature Key
      • Number of nodes Key
basic attributes cont
Basic Attributes (cont’)
  • NRSimpleAttributeFactory: maybe containing many NRAttributes each, defining the attr data type (for all of following, I use FLOAT64_TYPE)
    • Temperature AttrFactory
    • Location AttrFactory
    • CAN AttrFactory
  • Each message can consist of several defined Attribute Factory.
  • Each factory can consist of many attributes data
code structure
Code Structure
  • Rectangles: Classes
  • Triangles: Methods
sensor behavior
Sensor Behavior
  • Real Line: Control Flow
  • Dashed Line: Data Flow/Actions Order
environment simulation
Environment Simulation
  • Temperature Matrixes:
    • Environment Temperature Matrix
    • Fire Temperature Matrix
  • Methods:
    • Set the temperature for specified location
    • Set the fire for specified location
    • Spread the fire
    • Set the fire’s dangerous level (spreading speed)
    • Return the temperatures of a specified location
  • Updating timer
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