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Improving QoS Using Mobility-Based Optimized Multipath Routing Protocol in MANET

S. J. Sangeetha1,*, T. Rajendran2

1 Department of Computer Science, Periyar University, Salem, 636011, India
2 PG and Research Department of Computer Science, Government Arts and Science College, Kangeyam, 638108, India

* Corresponding Author: S. J. Sangeetha. Email: email

Computer Systems Science and Engineering 2023, 46(1), 1169-1181. https://doi.org/10.32604/csse.2023.033392

Abstract

Mobile Ad-hoc Networks (MANETs) connect numerous nodes to communicate data from the sender node to the target node. Due to the lack of an infrastructure network, mobile nodes communicate through wireless without an access point. MANET does not have a centralized controller and has a dynamic network topology, which increases link failure and energy consumption resulting in excessive path delay, loss of Quality of service (QoS), and reduced throughput during data communication. Congestion is a significant problem when the QoS of the link carrying the data is degraded. Routing is one of the vital challenges of MANET due to the very dynamic and distributed nature of MANET. This article introduces a Mobility-Based Optimized Multipath Routing Protocol (MBOMRP) and an Efficient Reliable Link-State Transmission (ERLST) algorithm to overcome these problems. The proposed Mobility-Based Optimized Multipath Routing Protocol (MBOMRP) is utilized for route discovery and maintenance to efficiently avoid traffic and sleeping nodes. ERLST algorithm is used for efficient data transmission to increase QoS measurement parameters like throughput, Packet Delivery Ratio (PDR), and minimize the latency performance. The proposed MBOMRP-ERLST algorithm improves data communication network lifetime, avoids link failures, and provides efficient results compared with previous algorithms.

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Cite This Article

S. J. Sangeetha and T. Rajendran, "Improving qos using mobility-based optimized multipath routing protocol in manet," Computer Systems Science and Engineering, vol. 46, no.1, pp. 1169–1181, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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