Main Reference PaperRPL-based networks in static and mobile environment: A performance assessment analysis., 2018 [Contiki-Cooja Simulator]
  • Lamaazi, Hanane, Nabil Benamar, and Antonio J. Jara.

Author Name(s):
  • Lamaazi, Hanane, Nabil Benamar, and Antonio J. Jara.

  • Journal of King Saud University-Computer and Information Sciences, 2018

Journal Name and year:
  • Journal of King Saud University-Computer and Information Sciences, 2018

  • 10.1016/j.jksuci.2017.04.001

DOI:
  • 10.1016/j.jksuci.2017.04.001

  • Internet of Things (IoT)

Research Area:
  • Internet of Things (IoT)

  • In this paper, we evaluate the performances of RPL in three configurations: network scalability, multiple sink and mobility models.

  • To this end, two different scenarios are implemented using the Cooja simulator

  • The first one is based on group models

  • The second scenario is based on the entity mobility models.

  • Our simulation results show that RPL performances are greatly influenced by the number of nodes, the number of sink nodes, and the mobility type

  • The scalability of the network increases all metrics while providing less packet loss

  • Additionally, the number of sink nodes directly affects the RPL performances.

  • The energy consumption is reduced in the case of multiple sink nodes by 55.86%, which is less than the case of a single sink

Abstract:
  • In this paper, we evaluate the performances of RPL in three configurations: network scalability, multiple sink and mobility models.

  • To this end, two different scenarios are implemented using the Cooja simulator

  • The first one is based on group models

  • The second scenario is based on the entity mobility models.

  • Our simulation results show that RPL performances are greatly influenced by the number of nodes, the number of sink nodes, and the mobility type

  • The scalability of the network increases all metrics while providing less packet loss

  • Additionally, the number of sink nodes directly affects the RPL performances.

  • The energy consumption is reduced in the case of multiple sink nodes by 55.86%, which is less than the case of a single sink

  • 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.

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

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit