An artificial intelligence based X-AODV routing protocol for MANET

Abstract

In wireless network environment all nodes behave in multi-hope paradigm, in which every node contains information about the link and connectivity in infrastructure-less manner. If any node moves from its original place to another with or without prescribed manner it called mobile network MANET. To maintain the updated information about the location as well as routing of the node, some efficient protocols such as AODV, DSR, DSDV etc are been used currently. In wireless network paradigm where other issues are there, but security becomes is a very important aspect. In wireless network transmission becomes disrupt when attacks becomes occur. Those attacks can be imposing on any OSI layer, Physical, Network and Transport layer. In this paper we presented an Artificial Intelligence based efficient and secure X-AODV routing protocol for intelligently adaptation secure and congestion-less path. We compare our proposed protocol with two latest modified protocols (SAODV and ARAN) and simulation results show that our proposed routing protocol provides a better attack detection and provide security and performance than existing works. The simulation results show the improvement of the network performance with secure path adaptation as well as minimum delay.