Main Reference PaperCoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications,2018 [Contiki-Cooja Simulator]
  • Bhandari, Khadak, A. S. M. S. Hosen, and Gi Cho

Author Name(s):
  • Bhandari, Khadak, A. S. M. S. Hosen, and Gi Cho

  • 10.3390/s18113838

DOI:
  • 10.3390/s18113838

  • Internet of Things (IoT)

Research Area:
  • Internet of Things (IoT)

  • we propose a congestion-aware routing protocol (CoAR) which utilizes the selection of an alternative parent to alleviate the congestion in the network.

  • The proposed mechanism uses a multi-criteria decision-making approach to select the best alternative parent node within the congestion by combining the multiple routing metrics

  • Moreover, the neighborhood index is used as the tie-breaking metric during the parent selection process when the routing score is equal

  • In order to determine the congestion, CoAR adopts the adaptive congestion detection mechanism based on the current queue occupancy and observation of present and past traffic trends.

  • The proposed protocol has been tested and evaluated in different scenarios in comparison with ECRM and RPL

  • The simulation results show that CoAR is capable of dealing successfully with congestion in LLNs while preserving the required characteristics of the IoT applications

Abstract:
  • we propose a congestion-aware routing protocol (CoAR) which utilizes the selection of an alternative parent to alleviate the congestion in the network.

  • The proposed mechanism uses a multi-criteria decision-making approach to select the best alternative parent node within the congestion by combining the multiple routing metrics

  • Moreover, the neighborhood index is used as the tie-breaking metric during the parent selection process when the routing score is equal

  • In order to determine the congestion, CoAR adopts the adaptive congestion detection mechanism based on the current queue occupancy and observation of present and past traffic trends.

  • The proposed protocol has been tested and evaluated in different scenarios in comparison with ECRM and RPL

  • The simulation results show that CoAR is capable of dealing successfully with congestion in LLNs while preserving the required characteristics of the IoT applications

  • 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

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

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