Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2021 -> Volume 33, Issue 10, December

Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network

Journal from gdlhub / 2022-02-15 16:40:35
Oleh : Dipika Sarkar, Swagata Choudhury, Abhishek Majumde, King Saud University
Dibuat : 2022-02-15, dengan 0 file

Keyword : Mobile ad-hoc networks, Dynamic source routing, Ad-hoc on-demand distance vector routing, Ant colony optimization, Quality of service, Route selection
Url : http://www.sciencedirect.com/science/article/pii/S1319157818303458
Sumber pengambilan dokumen : web

Selection of an optimal path is a challenging issue in Mobile Ad-hoc network (MANET). This paper proposes a new mechanism for route selection combining Ad-hoc On-Demand Distance Vector (AODV) protocol with Ant Colony Optimization (ACO) to improve Quality of Service (QoS) in MANET. Based on the mechanism of ant colony with AODV, the finest route for data delivery is selected using pheromone value of the path. In the proposed work, pheromone value of a route is calculated based on end to end reliability of the path, congestion, number of hops and residual energy of the nodes along the path. The path which has highest pheromone value will be selected for transmission of the data packet. The simulation result shows that the proposed scheme outperforms AODV, Dynamic Source Routing (DSR) and Enhanced-Ant-DSR routing algorithms.

Deskripsi Alternatif :

Selection of an optimal path is a challenging issue in Mobile Ad-hoc network (MANET). This paper proposes a new mechanism for route selection combining Ad-hoc On-Demand Distance Vector (AODV) protocol with Ant Colony Optimization (ACO) to improve Quality of Service (QoS) in MANET. Based on the mechanism of ant colony with AODV, the finest route for data delivery is selected using pheromone value of the path. In the proposed work, pheromone value of a route is calculated based on end to end reliability of the path, congestion, number of hops and residual energy of the nodes along the path. The path which has highest pheromone value will be selected for transmission of the data packet. The simulation result shows that the proposed scheme outperforms AODV, Dynamic Source Routing (DSR) and Enhanced-Ant-DSR routing algorithms.

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ID Publishergdlhub
OrganisasiKing Saud University
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
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Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
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