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 l.jpg
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 l.jpg
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 l.jpg
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 l.jpg
Code Structure

  • Rectangles: Classes

  • Triangles: Methods


Sensor behavior l.jpg
Sensor Behavior

  • Real Line: Control Flow

  • Dashed Line: Data Flow/Actions Order



Environment simulation l.jpg
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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