Performance Evaluation and Comprehensive Analysis of Lora Network Planning for Iot Deployment Scenarios | 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 Performance Evaluation and Comprehensive Analysis of Lora Network Planning for Iot Deployment Scenarios Jayavignesh Thyagarajan, Aaron Alex Abraham, Aakash R, Karthick Srivatsa R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4319621/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 Low-Power Wide Area Networks (LPWANs) have been gaining momentum as important pillars of the Internet of Things’ age. These networks are designed to provide coverage for long distances to end nodes, exploiting the license free frequency bands present in the telecommunication space. An extensive study using simulated models, and field trials within the university premises, were conducted to study the performance of a LoRa-based IoT network in various types of deployment scenarios. The work carried out covers all the factors of influence for a stationary LoRaWAN network with a single gateway. The preliminary results showcase the features and capabilities of an end device present in such a network. In the advanced simulations the effect of select radio propagation loss models on the network performance was understood. Various attributes unique to LoRa have also been investigated in further simulations. The practical experimentation provides insights into the performance of the LoRa-based wireless communication system under line-of-sight (LOS) and non-line-of-sight conditions (NLOS), shedding light on the impact of environmental variables on the signal quality and range capabilities. This study offers a thorough examination of the diverse deployment scenarios and their influence on the performance metrics of a LoRaWAN network. The insights gained from the results assist in the effective and efficient utilization of resources, enabling optimal network performance and output. LPWAN LoRaWAN IoT gateway LoRa 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-4319621","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":301549441,"identity":"1ca99282-681d-47b6-9e47-6e07828895f1","order_by":0,"name":"Jayavignesh Thyagarajan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAklEQVRIiWNgGAWjYBACxgYQaQAieIC4AkzCRIjRcuAMAw8PIS1IAKj2YBsDzBrcgLn9jOFnnoLaPH7+sweYP847LGPPwPzwA0PBHdwO68kxluYxOF4sOSMvgeHgtsNAh7EZSzAYPMPjlxwDyRkGxxI33OAxAGpJA/nFDOiXw7i19L8x/gnSsv/8GaCWOSAt7N/wa5mRYybxwaAmcQNDDlBLgw1QCw8BW2Y8K7P4YHAgccaNHIMDZ44BtRzmKZZIwKPFsD95842EP3WJ/f1nDB9U1EjYs7e3b/zw4Q8eLQ0coFiDKDgAJpmBOAGnBgYGeQb2B0CqDo+SUTAKRsEoGPEAAOkaUcDykdHNAAAAAElFTkSuQmCC","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":true,"prefix":"","firstName":"Jayavignesh","middleName":"","lastName":"Thyagarajan","suffix":""},{"id":301549444,"identity":"a1ff665b-c389-4295-91ee-ab1a387706f9","order_by":1,"name":"Aaron Alex Abraham","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Aaron","middleName":"Alex","lastName":"Abraham","suffix":""},{"id":301549446,"identity":"9a71867a-bd3c-4a33-93e4-10cd60231d37","order_by":2,"name":"Aakash R","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Aakash","middleName":"","lastName":"R","suffix":""},{"id":301549447,"identity":"38b549d8-6e62-4f55-8cd6-2a66fe66d459","order_by":3,"name":"Karthick Srivatsa R","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Karthick","middleName":"Srivatsa","lastName":"R","suffix":""}],"badges":[],"createdAt":"2024-04-24 16:50:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4319621/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4319621/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61251889,"identity":"1f47abfa-0568-445e-b24b-bf80ffb61813","added_by":"auto","created_at":"2024-07-28 11:31:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1146412,"visible":true,"origin":"","legend":"","description":"","filename":"PerformanceEvalLoRaRev2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4319621/v1_covered_cea06dec-f4ed-4085-8de2-ab0c3bed2f25.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003ePerformance Evaluation and Comprehensive Analysis of Lora Network Planning for Iot Deployment Scenarios\u003c/p\u003e","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":"LPWAN, LoRaWAN, IoT, gateway, LoRa","lastPublishedDoi":"10.21203/rs.3.rs-4319621/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4319621/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLow-Power Wide Area Networks (LPWANs) have been gaining momentum as important pillars of the Internet of Things’ age. These networks are designed to provide coverage for long distances to end nodes, exploiting the license free frequency bands present in the telecommunication space. An extensive study using simulated models, and field trials within the university premises, were conducted to study the performance of a LoRa-based IoT network in various types of deployment scenarios. The work carried out covers all the factors of influence for a stationary LoRaWAN network with a single gateway.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe preliminary results showcase the features and capabilities of an end device present in such a network. In the advanced simulations the effect of select radio propagation loss models on the network performance was understood. Various attributes unique to LoRa have also been investigated in further simulations. The practical experimentation provides insights into the performance of the LoRa-based wireless communication system under line-of-sight (LOS) and non-line-of-sight conditions (NLOS), shedding light on the impact of environmental variables on the signal quality and range capabilities.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis study offers a thorough examination of the diverse deployment scenarios and their influence on the performance metrics of a LoRaWAN network. The insights gained from the results assist in the effective and efficient utilization of resources, enabling optimal network performance and output.\u003c/p\u003e","manuscriptTitle":"Performance Evaluation and Comprehensive Analysis of Lora Network Planning for Iot Deployment Scenarios","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-14 02:31:23","doi":"10.21203/rs.3.rs-4319621/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":"3c57ede4-56ba-4375-b56c-2aa13af1163d","owner":[],"postedDate":"May 14th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-07-28T11:23:29+00:00","versionOfRecord":[],"versionCreatedAt":"2024-05-14 02:31:23","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4319621","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4319621","identity":"rs-4319621","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","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.