of Annual IEEE Communications Society Conference (SECON-2004), 2004, pp. and de Lara E., Simplified simulation models for indoor MANET evaluation are not robust, in: Proc. Cavilla A.L., Baron G., Hart T.E., Litty L.and Jetcheva J., A performance comparison of multi-hop wireless ad hoc network routing protocols, in: Proceedings of the Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM-98), ACM, 1998. Broch J., Maltz D.A., Johnson D.B., Hu Y.-C.and Gregori E., IEEE 802.11b ad-hoc networks: Performance measurements, Journal of Cluster Computing 8( 2,3) ( 2005), 135– 145. of International Conference on Mobile Computing and Networking (MOBICOM-2005), 2005, pp. and Morris R., Architecture and evaluation of an unplanned 802.11b mesh network, in: Proc. of International Conference on Advanced Information Networking and Applications (AINA-2009), 2009, pp. and Xhafa F., Performance analysis of OLSR and BATMAN protocols considering link quality parameter, in: Proc. Barolli L., Ikeda M., De Marco G., Durresi A.The number of hops is higher and has more oscillations for denser networks. For all topologies, the average throughput is around 5 times lower than CBR of sent data. We evaluate the performance by measuring the number of hops and throughput for one-flow traffic. For moving nodes we use Random Way-point Mobility (RWM) model.
In this paper, we analyze the performance of a MANET considering different number of static nodes in the network. A grid of static nodes, which will also support the communication between mobile nodes, may also be considered. At a given time, not all the nodes can be mobile. Considering mobility of the nodes, the routes change dynamically so routing algorithms are very important for operation of MANETs. MANET nodes cooperate in an autonomous way by forwarding packets to each-other. They can be implemented in disaster recovery sites, university campuses, military campaigns and so on. Mobile ad hoc Networks (MANETs) are temporary networks, that require relatively less time to be deployed and less resources to keep up and running.
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