Video and data is becoming the dominant traffic over the Internet. To be able to detect, fix and replace lost data and voice packets along User Datagram Protocol (UDP), we apply artificial intelligent optimization The two artificial intelligence (AI) algorithms applied in this work are Modified Artificial Bee Colony (MABC) and Modified Particle Swarm Optimization (MPSO). These algorithms show great improvement in preventing packet loss and making transmission reliable. Further test of the MABC and MPSO reveals that there is improved optimization of data and voice packet delivery. Another comparison demonstrates that MPSO is significantly better than MABC in overall performance.

Artificial Intelligence, Algorithms, Optimization, Artificial Bee Colony, Particle Swarm Optimization, UDP

[1] Douglas E. Comer 2006, Internetworking with Transport Control Protocol /IP, Protocols, Principles and Architectures’, Vol.1, 5th Edition.
[2] Yashpaul ER., Singh and Swarup A. 2009, “Analysing Adaptive Routing Algorithms using Connectionless Protocols”, World Academy of, Engineering Sciences & Technology No.28.
[3] Behrouz A. 2003, ‘Data Networks and Communications’, TATA MCGRAW-HILL 3rd Edition
[4] Dorigo M, Bonabeau E, G. Theraulaz 1999, “Artificial Swarm Intelligence from Natural to Artificial System”, Oxford University Press
[5] Wong, K. C. P.; Ryan, H. M. and Tindle, J 1996. Early warning fault detection using artificial intelligent methods. 31st Universities Power Engineering Conference18th -20th September 2006, Crete, Greece.
[6] Li-Yeh Chuang, Yu-Da Lin, and C.-H. Yang 2012, "An Improved Particle Swarm Optimization for Data Clustering," in Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2012, IMECS 2012 Hong Kong, 2012, pp.440-445.
[7] D. Karaboga, "An idea based on honey bee swarm for numerical optimization," Erciyes University, Engineering Faculty, Computer Engineering Department, Turkey, Technical Report-TR06, 2005.
[8] Stallings, W 2007, ‘Handbook of computer-communication standards’, Volume 2: Local Network. Macmillan Publishers, New York.
[9] Dorigo M, Mauro B, and Thomas S., 2006 IEEE Computational Magazine on Intelligence e Librederuxeles, Belgium November.
[10] Yao X., Liu, Y. & Lin, G. 1999. Evolutionary Programming Made Faster.IEEE Transactions On Evolutionary Computation, VOL. 3, NO. 2.
[11] Hadley, G.1964: Nonlinear and Dynamics Programming. Addison Wesley, Reading, MA.
[12] Shraddha Pandit et.al, 2008. Enhance the Performance of Video Compression Based on Fractal H-V Partition Technique with Particle Swarm Optimizatio International Journal of Computer Sciences and Engineering Vol.6(1), Jan 2018, E-ISSN: 2347-2693
[13] Wolpert D.H and Macready W.G. 1997. “Theorem for optimization and Evolutionary Applied Computation”, volume1, page 45.