Local Voting TSCH

Implementation of the Local Voting algorithm in the 6TiSCH Simulator, and some simulation results.

Comparison of slot allocation algorithm Local Voting Z, Local Voting, OTF and E-OTF.

Results for bursty and uniform traffic.

You can find eps and png figures of the results in folder bin/simData_steady/ and bin/simData_bursts/

Some indicative results:

Table of Contents

• Local Voting TSCH
• Table of Contents
• Uniform Traffic
  • Aggregated Values vs parameters
    • time_all_root
    • max_latency
    • latency
    • chargeConsumedPerRecv
    • chargeConsumed
    • reliability
    • max_txQueueFill
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Some indicative scenarios
  • Scenario parents: 3, average inter-packet period: 0.1
    • appGenerated
    • appReachesDagroot
    • appReachesDagroot_cum
    • latency
    • txQueueFill
    • txQueueFill_cum
    • numRxCells
    • chargeConsumed
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Scenario parents: 3, average inter-packet period: 0.2
    • appGenerated
    • appReachesDagroot
    • appReachesDagroot_cum
    • latency
    • txQueueFill
    • txQueueFill_cum
    • numRxCells
    • chargeConsumed
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Scenario parents: 3, average inter-packet period: 0.4
    • appGenerated
    • appReachesDagroot
    • appReachesDagroot_cum
    • latency
    • txQueueFill
    • txQueueFill_cum
    • numRxCells
    • chargeConsumed
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
• Bursty Traffic
  • Aggregated Values vs parameters
    • time_all_root
    • max_latency
    • latency
    • chargeConsumedPerRecv
    • chargeConsumed
    • reliability
    • max_txQueueFill
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Some indicative scenarios
  • Scenario parents: 3, packets: 80
    • appGenerated_cum
    • appReachesDagroot_cum
    • appReachesDagroot
    • chargeConsumed
    • latency
    • numRxCells
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Scenario parents: 3, packets: 50
    • appGenerated_cum
    • appReachesDagroot_cum
    • appReachesDagroot
    • chargeConsumed
    • latency
    • numRxCells
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Scenario parents: 3, packets: 25
    • appGenerated_cum
    • appReachesDagroot_cum
    • appReachesDagroot
    • chargeConsumed
    • latency
    • numRxCells
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Scenario parents: 3, packets: 5
    • appGenerated_cum
    • appReachesDagroot_cum
    • appReachesDagroot
    • chargeConsumed
    • latency
    • numRxCells
    • txQueueFill
    • LoadAllG
    • LoadAllJain
    • LoadCongG
    • LoadCongJain
  • Code Organization

Table of contents generated with markdown-toc

Uniform Traffic

Aggregated Values vs parameters

time_all_root

max_latency

latency

chargeConsumedPerRecv

chargeConsumed

reliability

max_txQueueFill

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Some indicative scenarios

Scenario parents: 3, average inter-packet period: 0.1

appGenerated

appReachesDagroot

appReachesDagroot_cum

latency

txQueueFill

txQueueFill_cum

numRxCells

chargeConsumed

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Scenario parents: 3, average inter-packet period: 0.2

appGenerated

appReachesDagroot

appReachesDagroot_cum

latency

txQueueFill

txQueueFill_cum

numRxCells

chargeConsumed

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Scenario parents: 3, average inter-packet period: 0.4

appGenerated

appReachesDagroot

appReachesDagroot_cum

latency

txQueueFill

txQueueFill_cum

numRxCells

chargeConsumed

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Bursty Traffic

Aggregated Values vs parameters

time_all_root

max_latency

latency

chargeConsumedPerRecv

chargeConsumed

reliability

max_txQueueFill

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Some indicative scenarios

Scenario parents: 3, packets: 80

appGenerated_cum

appReachesDagroot_cum

appReachesDagroot

chargeConsumed

latency

numRxCells

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Scenario parents: 3, packets: 50

appGenerated_cum

appReachesDagroot_cum

appReachesDagroot

chargeConsumed

latency

numRxCells

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Scenario parents: 3, packets: 25

appGenerated_cum

appReachesDagroot_cum

appReachesDagroot

chargeConsumed

latency

numRxCells

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Scenario parents: 3, packets: 5

appGenerated_cum

appReachesDagroot_cum

appReachesDagroot

chargeConsumed

latency

numRxCells

txQueueFill

LoadAllG

LoadAllJain

LoadCongG

LoadCongJain

Code Organization

• bin/: the script for you to run
• SimEngine/: the simulator
  • Mote.py: Models a 6TiSCH mote running the different standards listed above.
  • Propagation.py: Wireless propagation model.
  • SimEngine.py: Event-driven simulation engine at the core of this simulator.
  • SimSettings.py: Data store for all simulation settings.
  • SimStats.py: Periodically collects statistics and writes those to a file.
  • Topology.py: creates a topology of the motes in the network.
• SimGui/: the graphical user interface to the simulator