The Effect of Mobility Models and Traffic Patterns on the Performance of Routing Protocols in MANETs

Abstract

Mobile ad-hoc networks (MANETs) are self-organizing networks which can form a communication network without any fixed infrastructure. Constant bit rate (CBR) traffic pattern is very well known traffic model for MANETs which generates data packets at a constant rate. Transmission Control Protocol (TCP) provides reliability to data transferring in all end-to-end data stream services on the MANETs. There are several TCP traffic patterns such as TCP Reno, TCP New Reno, TCP Vegas, and TCP Selective Acknowledgment (Sack). The traffic pattern plays an important role in so far as the performance of a routing protocol is concerned. In this paper, we study the effect of impact of mobility models and traffic patterns on the behavior of Reactive (AODV) and Proactive (DSDV, OLSR) routing protocols used in MANETs considering both CBR and TCP traffic patterns with different mobility models namely, Reference Point Group Mobility (RPGM) and Manhattan Grid (MG). The performance metrics used to evaluate the efficiency of the considered protocols are packet delivery ratio, average throughput and End-to-End Delay. The experimental results conducted using NS2 simulator show that the relative ranking of routing protocols may vary depending on both mobility models and traffic patterns.

Performance Evaluation of MANET Routing Protocols Under Different Mobility Models

“…Packet delivery ratio, average throughput and average end to end delay were used as performance metrics. Bharadwaj and Singh [12] arrived at a conclusion that the optimum performance of routing protocols can be achieved by using the appropriate mobility model. For this, they considered AOMDV, DSDV, DSR, and AODV routing protocols with Random Walk mobility, Manhattan Grid and Gauss Markov models.…”

Impact of Random Mobility Models on OLSR

“…The impact of mobility models and traffic patterns on AODV, DSDV and OLSR has been studied using both CBR and TCP traffic patterns with respect to reference point group and Manhattan Grid mobility models in [34]. The performance metrics used are packet delivery ratio, throughput and end-to-end delay.…”

Evaluation of Mobility Models Using Routing Protocols

“…This general description of group mobility can be used to create a variety of models for different kinds of mobility applications. Group mobility as such can be used in military battlefield communications [16,17]. One example of such mobility is that a number of soldiers may move jointly in a group.…”