Cost Optimization Approach for MANET using Particle Swarm Optimization

This paper present the approach require to increase the QoS of MANET network using particle swarm optimization algorithm. To improve data communication between two nodes we propose an efficient algorithm for AODV protocol using PSO where instead of suppling all default parameter with default value of AODV protocol we try to provide selective parameters with optimum value so that overall requirement of control packet get decrease that in turn result in to increase quality of service parameters of MANET. For the enhancement of reliability and reduction of cost, node speed control mechanism is implemented using PSO, The given method which is use for simulation, reduces the overall loss of data and also make transmission effective. We have also tested the performance of network by changing data rates and the speed of the node

Analyzing Performance of ZRP by Varying Node Density and Transmission Range

Mobile Ad hoc Network (MANET) is a collection of mobile nodes that are arbitrarily located so that the interconnections between nodes are dynamically changing. In MANET mobile nodes forms a temporary network without the use of any existing network infrastructure or centralized administration. Each node participating in the network acts both as host and a router and must therefore is willing to forward packets for other nodes. For this purpose, a routing protocol is needed. A routing protocol is used to find routes between mobile nodes to facilitate communication within the network. The Zone Routing Protocol (ZRP) is a hybrid routing protocol for MANET which combines the advantages of the proactive and reactive approaches by maintaining an up-to-date topological map of a zone centered on each node. I am going to do simulation based study in order to analyze performance of ZRP protocol and I use Network Simulator (NS-2) tool to analysis performance of ZRP and analysis by varying node density and transmission range on different parameter like throughput, average end to end delay, and Normalized Routing load. Keywords:Routing Protocols, ZRP, Proactive Routing, Reactive Routing, Hybrid Routing