Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications

preprint OA: closed
Full text JSON View at publisher
Full text 10,201 characters · extracted from preprint-html · click to expand
Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications HAMEURLAINE Hicham, Noureddine Mehallegue, Mustapha Benssalah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5753790/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 Unmanned Aerial Vehicle Ad-hoc Networks (UANETs) are vital in disaster scenarios, providing reliable communication for life-saving operations despite challenges such as rapid changes in network topology and energy constraints that can lead to link instability. Although current enhancements to the Optimized Link State Routing (OLSR) protocol focus on real-time metrics, they often struggle to adapt to dynamic conditions, revealing a significant limitation. In response to this challenge, we present an optimized OLSR protocol that effectively integrates real-time metrics such as congestion, node position, and energy levels with predictive metrics, including estimated node lifetime and movement direction, within the Multi-Point Relay (MPR) selection process. This approach enhances network stability and extends operational lifespan by proactively avoiding unstable links before disruptions occur. Our analysis demonstrates that the proposed protocol outperforms existing OLSR-based solutions, achieving improved average throughput, higher Packet DeliveryRatios (PDR), and extended node lifespans across various conditions, including both sparse and dense networks, as well as low and high mobility scenarios. MPR OLSR UAV UANETs NS2 FANET 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-5753790","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":398314718,"identity":"5672bb57-9951-4a31-b664-2dfa653bbc45","order_by":0,"name":"HAMEURLAINE Hicham","email":"data:image/png;base64,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","orcid":"","institution":"Ecole Militaire Polytechnique","correspondingAuthor":true,"prefix":"","firstName":"HAMEURLAINE","middleName":"","lastName":"Hicham","suffix":""},{"id":398314719,"identity":"9d424e3e-f6d8-4374-93f9-36f0479d4f34","order_by":1,"name":"Noureddine Mehallegue","email":"","orcid":"","institution":"Research and Development Centre","correspondingAuthor":false,"prefix":"","firstName":"Noureddine","middleName":"","lastName":"Mehallegue","suffix":""},{"id":398314720,"identity":"6615001b-4ab9-4086-b19d-d8a185704d51","order_by":2,"name":"Mustapha Benssalah","email":"","orcid":"","institution":"Ecole Militaire Polytechnique","correspondingAuthor":false,"prefix":"","firstName":"Mustapha","middleName":"","lastName":"Benssalah","suffix":""}],"badges":[],"createdAt":"2025-01-02 19:23:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5753790/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5753790/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81193088,"identity":"9e8f5c05-f687-4d45-a2c7-638fd67499dd","added_by":"auto","created_at":"2025-04-23 09:38:19","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":404616,"visible":true,"origin":"","legend":"","description":"","filename":"OptimizedMPRSelectioninOLSRroutingprotocolforUAVCommunicationsinPublicSafetyapplications4.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5753790/v1_covered_2a5fc0a1-42c3-4f1d-bc1c-49ea15ee5c05.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"MPR, OLSR, UAV, UANETs, NS2, FANET","lastPublishedDoi":"10.21203/rs.3.rs-5753790/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5753790/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Unmanned Aerial Vehicle Ad-hoc Networks (UANETs) are vital in disaster scenarios, providing reliable communication for life-saving operations despite challenges such as rapid changes in network topology and energy constraints that can lead to link instability. Although current enhancements to the Optimized Link State Routing (OLSR) protocol focus on real-time metrics, they often struggle to adapt to dynamic conditions, revealing a significant limitation. In response to this challenge, we present an optimized OLSR protocol that effectively integrates real-time metrics such as congestion, node position, and energy levels with predictive metrics, including estimated node lifetime and movement direction, within the Multi-Point Relay (MPR) selection process. This approach enhances network stability and extends operational lifespan by proactively avoiding unstable links before disruptions occur. Our analysis demonstrates that the proposed protocol outperforms existing OLSR-based solutions, achieving improved average throughput, higher Packet DeliveryRatios (PDR), and extended node lifespans across various conditions, including both sparse and dense networks, as well as low and high mobility scenarios.","manuscriptTitle":"Optimized MPR Selection in OLSR routing protocol for UAV Communications in Public Safety applications","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-01-08 03:07:29","doi":"10.21203/rs.3.rs-5753790/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ba107036-9125-4826-81d3-4bdc32c16e22","owner":[],"postedDate":"January 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-04-23T09:38:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-01-08 03:07:29","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5753790","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5753790","identity":"rs-5753790","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00