Intelligent Model for Improving the Capacity of Wireless Adhoc Network

Abstract

In Ad-Hoc network, devices make connection in the network through wireless medium. In these networks, each device have a unique IP address and it helps in identification of nodes for routing. Routing becomes difficult when the location of node changes. The IP address of every node should be updated, and there is a requirement of complex protocols to handle such changes. The challenges of IP addresses are many. In such wireless networks, connection is to be re-established with different IP address when a node moves from one access point to another .This will increase the latency of the network and provides interruption in service. This problem can be solved using mobile IP. It will maintain the same IP address even if the host node changes location .Hence it provides continuous connectivity in the network. In our proposed network, packets have been distributed using probabilistic approach i.e.pareto for grid and random topology & performance of the network is improved for DSR Routing protocol.