These Recent years have witnessed an extreme growth in research and development in the field of Wireless Networks. The special focus has been on Ad-hoc Networks especially Mobile Adhoc Network. Mobile Ad-hoc Network is a collection of wireless mobile hosts forming a temporary network without the aid of any centralized infrastructure. Mobile ad-hoc networks are self-organizing and selfconfiguring multi hop wireless networks where, the structure of the network changes dynamically. This is mainly due to the mobility of the nodes. The MANET architecture suffers from a highly unstable topology as the links between the nodes break frequently due to movement of the user. So routing protocol selection are key strategies behind the design of any wireless network. This paper focuses on the performance analysis of AODV and DSR routing protocols using network simulator NS-2 with User Defined Protocol (UDP) traffic. These protocols are analyzed against several performance metrics, Throughput, Packet Delivery Ratio, End to End Delay and node mobility speed are kept varying during simulation. Index Terms-AODV (ad-hoc on-demand distance vector), AWK (Aho Weinberger Kernighan), ACK (acknowledgement), DSDV (destination sequence distance vector) Margam K. Suthar was born in Visnagar, Gujarat in 1988. He received the B.E. degree in Electronic and Communication Engineering from
Mobility models are used to evaluated the network protocols of the ad hoc network using the simulation. The random waypoint model is a model for mobility which is usually used for performance evaluation of ad-hoc mobile network. Mobile nodes have the dynamic mobility in the ad hoc network so the mobility model plays an important role to evaluate the protocol performance.In this article, we developed modify random waypoint mobility (MRWM) model based on random waypoint for the mobile ad hoc network. In this article, the comparative analysis of modifying random waypoint mobility and random waypoint model on the ad hoc On-Demand Distance Vector (AODV) routing protocol has been done for large wireless ad hoc network (100 nodes) with the random mobile environment for the 1800s simulation time. To enhance the confidence on the protocol widespread simulations were accomplished under heavy traffic (i.e. 80 nodes) condition. The proposed model protocol has been investigated with the performance metrics: throughput; packet delivery ratio; packet dropping ratio; the end to end delay and normalized routing overhead. The obtained results revealed that proposed modify random waypoint mobility model reduces the mobility as compared to the random waypoint mobility model and it is trace is more realist.
A mobile ad-hoc network (MANET) is a network of mobile nodes short of Infrastructure, linked by wireless links. While mobility is the key feature of MANETs, the frequent movement of nodes may lead to link failure. A mobile multi-hop wireless ad hoc network carries a dynamic structure feature, and each node has mobility; due to this, the network has altered topology change dynamically. Developing the wireless ad hoc network protocol is the major challenge because, compared to the wired routing node, all node is mobile, energy limitation, the node's physical location, and multicast routing. In this article, a comparative investigation of routing protocol performance for large wireless ad hoc networks (100 nodes) under the impact of the random mobile environment with the velocity of 30 m/sec for 1800 seconds with ten different results for each node-set. The comparative analysis includes packet delivery ratio, throughput, packet dropping ratio, routing overhead, and end-to-end delay quality of service (QoS) metrics. It concludes that Ad-hoc On-demand Distance Vector protocol performance is more stable as the number of nodes & traffic increase in the random mobility environment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.