Evaluation of the improved particle swarm optimization algorithm efficiency inward peer to peer video streaming

Streaming video in peer-to-peer(P2P) networks is always faced with many challenges. In most of video streaming methods, service quality and observing the video integration are less concentrated; which is resulted from the loss of suitable algorithms to identify optimized route for sending information between a pair of nodes. The dynamic structure of such networks needs an algorithm which beside its high speed and accuracy can find suitable path for sending data pieces that provide service quality parameters. Using the algorithm of improved particle swarm optimization(IPSO), the present paper provides a method for video streaming. The suggested method is based on the principle that in every moment, every particle adjusts its location in the search space according to the best location that has been placed in it so far as well as the best place in its whole neighborhood. For validity check of the suggested method, a simulation with MATLAB has been done. The results show that the suggested method is more efficient comparing to other methods as well as other meta-heuristic methods such as Genetic Algorithm(GA).