Main Reference PaperTrickle-D: high fairness and low transmission load with dynamic redundancy., 2017 [Contiki-Cooja Simulator].
  • Vučinić, Mališa, Michał Król, Baptiste Jonglez, Titouan Coladon, and Bernard Tourancheau

Author Name(s):
  • Vučinić, Mališa, Michał Król, Baptiste Jonglez, Titouan Coladon, and Bernard Tourancheau

  • IEEE internet of things journal, 2017

Journal Name and year:
  • IEEE internet of things journal, 2017

  • 10.1109/JIOT.2017.2650318

DOI:
  • 10.1109/JIOT.2017.2650318

  • Internet of Things (IoT)

Research Area:
  • Internet of Things (IoT)

  • We address Trickle’s fairness problem to evenly distribute the transmission load across the network, while keeping the total message count low.

  • First, we analytically analyze two underlying causes of unfairness in Trickle networks: 1) desynchronization among nodes and 2) nonuniform topologies

  • Based on our analysis, we propose a first algorithm whose performance and parameters we study in an emulated environment.

  • From this feedback, we design a second algorithm Trickle-D that adapts the redundancy parameter to achieve high fairness while keeping the transmission load low

  • We validate Trickle-D in real-life conditions using a large scale experimental testbed.

  • Trickle-D requires minimal changes to Trickle, zero user input, emits 17.7% less messages than state-of-the-art and 37.2% less messages than state-of-practice, while guaranteeing high fairness across the network

Abstract:
  • We address Trickle’s fairness problem to evenly distribute the transmission load across the network, while keeping the total message count low.

  • First, we analytically analyze two underlying causes of unfairness in Trickle networks: 1) desynchronization among nodes and 2) nonuniform topologies

  • Based on our analysis, we propose a first algorithm whose performance and parameters we study in an emulated environment.

  • From this feedback, we design a second algorithm Trickle-D that adapts the redundancy parameter to achieve high fairness while keeping the transmission load low

  • We validate Trickle-D in real-life conditions using a large scale experimental testbed.

  • Trickle-D requires minimal changes to Trickle, zero user input, emits 17.7% less messages than state-of-the-art and 37.2% less messages than state-of-practice, while guaranteeing high fairness across the network

  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: Cooja, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Language: C

Software Tools & Technologies
  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: Cooja, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Language: C

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