Abstract:
Mobile Ad Hoc Network (MANET) is a reliable system formed by co-operating and independent nodes that connect
and communicate with each other wirelessly without pre-existing infrastructure. In such a network, the easiest way to
broadcast the packets to all network nodes is flooding. However, flooding leads to serious drawbacks such as collision,
contention and redundant retransmission. These drawbacks are known as the broadcast storm problem. This research
proposes an adaptive algorithm in order to decrease the overall network overhead and minimize the problems associated
to flooding. Moreover this research concentrates on studying the effect of using different mobility models that provide
general idea about nodes movement, status and locations. In particular the performance of Random Waypoint and File
mobility models in terms of their effect on network communication is evaluated. Moreover, this research provides performance
evaluation of different traffic types such as Constant Bit Rate (CBR) and Traffic GEN. Results from Qualnet
simulations have revealed that the new proposed algorithm outperforms flooding in terms of different metrics: reducing
end-to-end delay in addition to minimizing the normalized routing load and maximizing the packets delivery ratio, in
addition to concluding that Traffic GEN outperforms the CBR in terms of throughput. Moreover the CBR traffic has
higher delay values than Traffic GEN