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QoS Improvement using Enhanced Manhattan Mobility Model on Proposed Ant Colony Optimization Technique in MANETs

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Title QoS Improvement using Enhanced Manhattan Mobility Model on Proposed Ant Colony Optimization Technique in MANETs
 
Creator Kour, Satveer
Ubhi, Jagpal Singh
Singh, Manjit
 
Subject Bonnmotion-3.0.1
Mobility Models
NS-2.35
Optimization
Routing protocols
 
Description 616-628
In the current Mobile Ad-hoc Network (MANET) route discovery procedure, traffic overflow and overhead may pose a
major challenge for a path finding between communicating nodes. Swarm intelligence technique has been applied for
various routing problems. We suggest an ant-based bottleneck routing method for MANET to identify weak links in the
chosen route for routing overhead and delay issues. During data exchange, it selects the route using a swarm based
technique called Ant Colony Optimization (ACO). Initially, we have created node movements by Enhanced Manhattan
Mobility Model (EMMM) and then a bottleneck value based ant colony optimization technique is applied. The
simulation results show the improvement over existing ACO technique in terms of mobility and pause time. The Quality of
Service (QoS) performance metrics showed improvement of 66% in drop rate, 141% in the packet delivery ratio, 42% in
packet overhead, 171% in throughput, and 34% in the average end-to-end delay for mobility experiment. There is an
improvement of 82% in drop rate, 108% in the packet delivery ratio, 45% in packet overhead, 171% in throughput, and 49%
in the average end-to-end delay for a pause time experiment.
 
Date 2023-06-06T10:40:46Z
2023-06-06T10:40:46Z
2023-06
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/62011
https://doi.org/10.56042/jsir.v82i06.1827
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.82(06) [June 2023]