Performance and statistical analysis of ant colony route in mobile ad-hoc networks

Abstract

<div class="WordSection1"><p>Research on mobile ad-hoc networks (MANETs) is increasing in popularity due to its rapid, budget-friendly, and easily altered implementation, and relevance to emergencies such as forest firefighting and health care provisioning. The main concerns that ad-hoc networks face is dynamic topology, energy usage, packet drop rate, and throughput. Routing protocol selection is a critical point to surmount alterations in topology and maintain quality in MANET networks. The effectiveness of any network can be vastly enhanced with a well-designed routing protocol. In recent decades, standard MANET protocols have not been able to keep pace with growing demands for MANET applications. The current study investigates and contrasts ant colony optimization (ACO) with various routing protocols. This paper compares ad-hoc on-demand multi-path distance vector (AOMDV), dynamic source routing protocol (DSR), ad-hoc on-demand distance vector routing (AODV), and AntHocNet protocols regarding the quality of service (QoS) and statistical analysis. The current research aims to study the behavior of the state-of-the-art MANET protocols with the ACO technique. The ACO technique is a hybrid technique, integrating a reactive route maintaining technique with a proactive method. The reason and motivation for including the ACO algorithm in the current study is to improve by using optimization algorithms proved in other domains. The ACO algorithm appears to have substantial use in large-scale MANET simulation.</p></div>

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

“…In the proposed work of Alameri & Komarkova (2022) , the authors evaluated the effectiveness of various routing protocols in MANET using the NS-2 simulator. As part of the evaluation, mathematical statistics have been used to study and evaluate the behaviour of the transmitted data and measure the efficiency of the protocol based on the simulation results and the standard deviation of the data.…”

“…Moreover, recent evidence ( Issariyakul & Hossain, 2009 ; Alameri & Komarkova, 2022 ; Alameri, Hubálovskỳ & Komarkova, 2021 ; Alameri, Komarkova & Ramadhan, 2021 ), proved that the main advantages of NS-2 are that it does not demand expensive equipment, it can evaluate even the most complicated scenarios, outcomes can be achieved fast, and it allows for testing more concepts in a shorter period of time.…”