Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

The current and future status of the internet is represented by upcoming Internet Things (IoT). can connect huge amount data, which contains lot processing operations efforts to transfer pieces information. emerging IoT technology in smart ecosystem enabled physical object fixed with software electronics, sensors network connectivity. Nowadays, there are two trending technologies that take platform i.e., Software Defined Network (SDN) (SD-IoT). main aim organize different objects internet, managed control panel data SD network. issue challenging factors this increase delay latency problem between controllers. It more significant for wide area networks, because large packet propagation controller placement important every In proposed work, implementing adaptive fuzzy using enhanced sunflower optimization (ESFO) algorithm Pareto Optimal Controller tool (POCO) controller. order prove efficiency system, it compared other existing methods like PASIN, hybrid PSO terms load balance, reduced number controllers average delay. With 2 controllers, method obtains 400 miles as latency, 22.2% smaller than PSO, 76.9% lesser 91.89% PASIN.