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Applications and communication patterns for WSN. N. Reijers. Consensus day TU Delft February 7, 2003. WSN applications and traffic. MAC simulation requires generating realistic WSN traffic Routing Data aggregation OS Expected to have special characteristics. Application scenarios.

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Applications and communication patterns for wsn l.jpg

Applications and communication patternsfor WSN

N. Reijers

Consensus day TU Delft February 7, 2003


Wsn applications and traffic l.jpg

WSN applications and traffic

  • MAC simulation requires generating realistic WSN traffic

  • Routing

  • Data aggregation

  • OS

  • Expected to have special characteristics


Application scenarios l.jpg

Application scenarios

  • Intruder detection

  • Forest fire detection

  • Cattle herd

  • Battle field

  • Fire rescue

  • Environmental monitoring

  • Condition based maintenance

  • Airconditioning sensors


Application types l.jpg

3 types of applications

Detection

Tracking

Active

Passive

Monitoring

Push

Pull

Communication

Event

Periodic/event

Periodic

Query/response

Application types


Example sheep tracking l.jpg

Example:Sheep tracking

  • Farmers want to know:

    • Rough location of their sheep

    • When a sheep wanders off from the herd

    • When a sheep is lying on its back

  • Sensor nodes spread throughout the meadow

  • Sheep carry a node that periodically sends a beacon pulse


Sheep tracking approaches l.jpg

Sheep tracking approaches

  • Raw data to sink

    • Very inefficient

  • Active node

    • Cheap in terms of communication

    • Rough location estimate

  • Local triangulation

    • More expensive in terms of communication

    • More accurate location


Active node l.jpg

Active node

Sink

Sheep


Active node8 l.jpg

Active node

Sheep

Sink


Local triangulation l.jpg

Local triangulation

Sheep

Sink


Wsn application characteristics l.jpg

WSN application characteristics

  • Activity is often very localized both in space and time

  • High latency is tolerable

  • Available bandwidth >> required bandwidth

  • Messages

    • local or node->sink

    • sink->node are rare


Application model l.jpg

Application model

  • Capture charateristics in application scenarios

  • Generate traffic which is typical for WSN

  • Scenario description

    • Network description

    • Traffic generation

    • Active areas


Network model l.jpg

Network model

  • Number of nodes

  • Placement of nodes

    • Random

    • Grid

  • Radio range

  • Number of sinks

  • Placement of sinks

    • Center / edge / corner


Traffic generation 1 l.jpg

Traffic generation (1)

  • Generate random messages

    • Rate (msgs/sec)

    • Type, selected according

      to given ratio

      • Local broadcast

      • Local unicast

      • Node -> sink

      • Sink -> node

      • Sink -> all

86

38 %

50 %

12 %

0 %

0 %


Traffic generation 2 l.jpg

Traffic generation (2)

  • For each message type, specify

    • Message size

    • Allowed latency

  • For node->sink messages specify aggregation type

    • None

    • Concatenation

    • Averaging


Active areas l.jpg

Active areas

  • Active areas appear randomly

    • Rate (new areas/sec)

    • Avg lifetime

    • Avg size

  • 2nd set of parameters for active areas

  • Traffic generated for active areas is added to normal traffic


Conclusion l.jpg

Conclusion

  • Specific characteristics of WSN applications

    • localized activity

    • latency

    • available bandwidth >> required bandwidth

    • messages

      • local or node->sink

      • sink->node are rare

  • Traffic generation algorithm to model these


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