Reinforcement energy efficient ant colony optimization of mobile ad hoc multipath routing performance enhancement
Joint Authors
Singaravelan, Murugan
Mariappan, Bhuvaneswari
Source
The International Arab Journal of Information Technology
Issue
Vol. 19, Issue 2 (31 Mar. 2022), pp.195-202, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2022-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The Mobile Ad hoc Network (MANET) is a collection of mobile nodes that operates without infrastructure and is self-administrative.
It often changes the topology called dynamic network.
The nodes are in the dynamic network spending more energy on path finding that resultant the node quickly draining and being inactive in the network.
To overcome this issue, propose an Improve Energy Capability Backup Route ant colony optimization (IEC-BR) algorithm for reducing energy usage, enhancing network lifetime, improving packet delivery, and decreasing end-to-end delay.
The algorithm uses a backup route for minimizing the route researching and node energy preservation.
Stability factors and Quality of Services (QoS) parameters help to enhance the network lifetime and QoS.
The stability factor uses the node residual energy and the link lifetime.
Hop count and bandwidth are used for the QoS parameters.
The simulation result has proved the proposed IEC-BR technique improves packet delivery, node lifetime by 31% and reduces the network delay compared to the traditional Ad hoc On-demand Distance Vector (AODV) and Multi Objective Ad hoc On-demand Distance Vector (MOAODV) routing protocols.
American Psychological Association (APA)
Singaravelan, Murugan& Mariappan, Bhuvaneswari. 2022. Reinforcement energy efficient ant colony optimization of mobile ad hoc multipath routing performance enhancement. The International Arab Journal of Information Technology،Vol. 19, no. 2, pp.195-202.
https://search.emarefa.net/detail/BIM-1437177
Modern Language Association (MLA)
Singaravelan, Murugan& Mariappan, Bhuvaneswari. Reinforcement energy efficient ant colony optimization of mobile ad hoc multipath routing performance enhancement. The International Arab Journal of Information Technology Vol. 19, no. 2 (Mar. 2022), pp.195-202.
https://search.emarefa.net/detail/BIM-1437177
American Medical Association (AMA)
Singaravelan, Murugan& Mariappan, Bhuvaneswari. Reinforcement energy efficient ant colony optimization of mobile ad hoc multipath routing performance enhancement. The International Arab Journal of Information Technology. 2022. Vol. 19, no. 2, pp.195-202.
https://search.emarefa.net/detail/BIM-1437177
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 201-202
Record ID
BIM-1437177