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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39919702" target="_blank" >RIV/00216275:25410/22:39919702 - isvavai.cz</a>

Result on the web

<a href="https://ijece.iaescore.com/index.php/IJECE/article/view/25562" target="_blank" >https://ijece.iaescore.com/index.php/IJECE/article/view/25562</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11591/ijece.v12i3.pp2818-2828" target="_blank" >10.11591/ijece.v12i3.pp2818-2828</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Electrical and Computer Engineering

ISSN

2088-8708

e-ISSN

2088-8708

Volume of the periodical

12

Issue of the periodical within the volume

3

Country of publishing house

ID - INDONESIA

Number of pages

11

Pages from-to

2818-2828

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85124989016