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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

Applications and communication patternsfor WSN

N. Reijers

Consensus day TU Delft February 7, 2003

wsn applications and traffic
WSN applications and traffic
  • MAC simulation requires generating realistic WSN traffic
  • Routing
  • Data aggregation
  • OS
  • Expected to have special characteristics
application scenarios
Application scenarios
  • Intruder detection
  • Forest fire detection
  • Cattle herd
  • Battle field
  • Fire rescue
  • Environmental monitoring
  • Condition based maintenance
  • Airconditioning sensors
application types
3 types of applications

Detection

Tracking

Active

Passive

Monitoring

Push

Pull

Communication

Event

Periodic/event

Periodic

Query/response

Application types
example sheep tracking
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
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
Active node

Sink

Sheep

active node8
Active node

Sheep

Sink

wsn application characteristics
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
Application model
  • Capture charateristics in application scenarios
  • Generate traffic which is typical for WSN
  • Scenario description
    • Network description
    • Traffic generation
    • Active areas
network model
Network model
  • Number of nodes
  • Placement of nodes
    • Random
    • Grid
  • Radio range
  • Number of sinks
  • Placement of sinks
    • Center / edge / corner
traffic generation 1
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
Traffic generation (2)
  • For each message type, specify
    • Message size
    • Allowed latency
  • For node->sink messages specify aggregation type
    • None
    • Concatenation
    • Averaging
active areas
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
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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