Ant Colony Optimization Routing Algorithm for P2P Networks

Volume 6 Issue 3 October - December 2017

Research Paper

Ant Colony Optimization Routing Algorithm for P2P Networks

Assistant Professor, Department of Computers and Systems Engineering, Faculty of Engineering, Minia University, El Minia, Egypt.

Hanafy M. A. (2017). Ant Colony Optimization Routing Algorithm for P2P Networks. i-manager's Journal on Wireless Communication Networks, 6(3), 10-19. https://doi.org/10.26634/jwcn.6.3.14106

Abstract

Due to the importance of these information that move through the local and global networks , recent re­searches focused on improving the speed of communication networks with little attention to have the ability to secure the flow of the transmitted information through them. To tackle into the preceding points, some protocols have been developed in the literature to support efficiently the transfer of encrypted data. The efficiency of these protocols such as used in routing information raised the need to propose an intelligent technique that can merge some of the optimal protocols to gain both the high speed and security of the significant valuable transmitted data. In this article, Swarm intelligence follows the behaviour of cooperative ants in order to solve hard static and dynamic optimization problems using Ant Colony Optimization (ACO) technique and an artificial ant colony capable of finding the shortest path source to connected P2P nodes. The main goal of ACO-based search algorithm is that achieve high efficient in information retrieval & reduce load overhead.