Dynamic Routing with K-Link Path Diversity for Efficient Communication in Mobile Ad Hoc Networks

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This preprint studies routing in mobile ad hoc networks, focusing on how node mobility and link failures affect data transmission efficiency and reliability. It proposes a Dynamic Routing with k-Link Path Diversity (DRkLPD) approach that uses authenticated route discovery, a greedy method to choose the most reliable and stable paths, and dynamic adaptation to changing network conditions while also detecting malicious behavior such as packet dropping. The paper reports improvements in network performance metrics including throughput and packet delivery ratio, with optimization driven by reliability and stability metrics. The work is presented as an unreviewed preprint, with no peer-reviewed validation stated. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Mobile Ad Hoc Networks (MANETs) are infrastructure-less networks that enable dynamic communication between nodes without a centralized authority. However, the dynamic nature of MANETs poses significant challenges to routing, including node mobility and link failures. To address these limitations, the paper proposed a Dynamic Routing with k-Link Path Diversity (DRkLPD) method that leverages multiple paths to ensure reliable and efficient data transmission. DRkLPD employs a route discovery process to establish authenticated routing paths, utilizes a greedy search method to select the most reliable and stable paths, and dynamically adapts to changing network conditions. The proposed method detects and responds to malicious activity, such as packet dropping and optimizes route selection based on reliability, stability metrics. By providing a robust and adaptive routing solution, DRkLPD improves network performance metrics, including throughput and packet delivery ratio, making it an effective solution for efficient communication in MANETs.
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Mathiazhagan, DR. J.M. Dhayashankar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7684179/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Mobile Ad Hoc Networks (MANETs) are infrastructure-less networks that enable dynamic communication between nodes without a centralized authority. However, the dynamic nature of MANETs poses significant challenges to routing, including node mobility and link failures. To address these limitations, the paper proposed a Dynamic Routing with k-Link Path Diversity (DRkLPD) method that leverages multiple paths to ensure reliable and efficient data transmission. DRkLPD employs a route discovery process to establish authenticated routing paths, utilizes a greedy search method to select the most reliable and stable paths, and dynamically adapts to changing network conditions. The proposed method detects and responds to malicious activity, such as packet dropping and optimizes route selection based on reliability, stability metrics. By providing a robust and adaptive routing solution, DRkLPD improves network performance metrics, including throughput and packet delivery ratio, making it an effective solution for efficient communication in MANETs. MANET multi-path selection Routing greedy Wireless Networks Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7684179","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524709385,"identity":"4d98d526-95ce-40c9-867b-cb811c74d4b7","order_by":0,"name":"P. 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