Main Reference PaperSigma Routing Metric for RPL Protocol, 2018, [Contiki-Cooja Simulator]
  • Sanmartin, Paul, Aldo Rojas, Luis Fernandez, Karen Avila, Daladier Jabba, and Sebastian Valle.

Author Name(s):
  • Sanmartin, Paul, Aldo Rojas, Luis Fernandez, Karen Avila, Daladier Jabba, and Sebastian Valle.

  • 10.3390/s18041277

DOI:
  • 10.3390/s18041277

  • Internet of Things (IoT)

Research Area:
  • Internet of Things (IoT)

  • This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF.

  • Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX)

  • However, when the network becomes denser or the number of nodes increases, both OF0 and MRHOF introduce long hops, which can generate a bottleneck that restricts the network.

  • The adaptation is proposed to optimize both OFs through a new routing metric.

  • To solve the above problem, the metrics of the minimum number of hops and the ETX are combined by designing a new routing metric called SIGMA-ETX, in which the best route is calculated using the standard deviation of ETX values between each node, as opposed to working with the ETX average along the route.

  • This method ensures a better routing performance in dense sensor networks.

  • The simulations are done through the Cooja simulator, based on the Contiki operating system.

  • The simulations showed that the proposed optimization outperforms at a high margin in both OF0 and MRHOF, in terms of network latency, packet delivery ratio, lifetime, and power consumption

Abstract:
  • This paper presents the adaptation of a specific metric for the RPL protocol in the objective function MRHOF.

  • Among the functions standardized by IETF, we find OF0, which is based on the minimum hop count, as well as MRHOF, which is based on the Expected Transmission Count (ETX)

  • However, when the network becomes denser or the number of nodes increases, both OF0 and MRHOF introduce long hops, which can generate a bottleneck that restricts the network.

  • The adaptation is proposed to optimize both OFs through a new routing metric.

  • To solve the above problem, the metrics of the minimum number of hops and the ETX are combined by designing a new routing metric called SIGMA-ETX, in which the best route is calculated using the standard deviation of ETX values between each node, as opposed to working with the ETX average along the route.

  • This method ensures a better routing performance in dense sensor networks.

  • The simulations are done through the Cooja simulator, based on the Contiki operating system.

  • The simulations showed that the proposed optimization outperforms at a high margin in both OF0 and MRHOF, in terms of network latency, packet delivery ratio, lifetime, and power consumption

  • 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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