Improving the Performance of Proactive Protocols in Manets Networks Using Artificial Intelligence Algorithms


Abstract in English

Mobile Ad-Hoc Networks (MANETs) are infrastructure-less networks that are rapidly deployable and self-configuring and do not need central support. MANETs consist of a group of mobile nodes that act either as a router or as a host. Nodes in these network move rapidly and randomly, causing a continuous change in network topology. The routing in the network and choosing the best path between nodes are major issues that attract the attention of researchers in the field of mobile networks, because of the importance of the routing process and its impact on network performance. This paper focuses on improving the performance of the proactive OLSR protocol in order to choose the best routing path that achieves the least time delay in the network, secures the best packet delivery rate and ensures reducing packet loss during the transmission process. The ant colony algorithm was used to choose the best path based on two main factors , namely the path length and the occupancy of the nodes within the path. Our simulation scenarios are built using NS2.35 to test the performance of the improved protocol in terms of increasing the number of nodes in the network and increasing the speed of nodes in the network. The test results show a reduction in the time delay in the network and an increase in the packet delivery rate.

References used

Sirisala,S. ; Ramakrishna,S. Survey: Enhanced Trust Management for Improving QoS in MANETs. First International Conference on Artificial Intelligence and Cognitive Computing India. Vol 2,2018, p 255–263
Gautam, G. and Sen, B., 2015. Design and simulation of wireless sensor network in NS2. International Journal of Computer Applications, 113(16).

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