Author Topic: Abstract  (Read 578 times)

Bertrand Mareschal

  • Administrator
  • Jr. Member
  • *****
  • Posts: 74
  • Karma: +2/-0
    • View Profile
« on: April 08, 2020, 04:31:59 PM »
Channel selection using PROMETHEE-II MCDM technique in SDN enabled IoT environment
Nowadays Software Defined Networking (SDN) is emerging as a promising and safe technology to provide scalable and seamless services to IoT users. In this article, we consider the SDN enabled IoT, referred to as SDN+IoT, which is capable enough to smartly route the IoT traffic and use the underutilized network resources to deliver QoS to IoT users. However, the mass increase in IoT devices and eventually the massive surge of IoT traffic are leaving a huge strain on the SDN enabled Internet of things. In this article, we focus on this issue and highlight the importance of assigning suitable channels to each SDN+IoT switch to avoid potential network congestion and to enhance network throughput. In specific, we consider how to exploit PROMETHEE based multicriteria statistical approach to select the channel when n numbers of channels are available for channelizing the IoT traffic. The PROMETHEE-II multicriteria statistical approach has been proved to be one of the best techniques for deciding upon the best alternative when there are multiple alternatives are available. In this article, our objective is to assign the best suitable channel to forward the IoT traffic by making the pairwise comparison of all the alternative paths and by selecting the top-ranked channel where the ranking is provided by PROMETHEE-II MCDM technique. The results show that the proposed technique is capable enough to select the appropriate channel over SDN enabled IoT.