Error Correcting Codes Analysis for Wireless Industrial Communication based on Wavelet Packet Architecture. | 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 Article Error Correcting Codes Analysis for Wireless Industrial Communication based on Wavelet Packet Architecture. Mouhamad Chehaitly, Mohamed Tabaa, Jorge Querol Borras, Fabrice Monteiro, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3967383/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 With the evolution of applications, the implementation of processing algorithms has become more difficult due to the requirements in terms of throughput and complexity, which make the existing coding/decoding architectures unsuitable due to their insufficient computing capacity. Our objective in this paper is to analyze/study the integration of error-correcting codes into a functional digital architecture based on the inverse discrete wavelet packet transform (IDWPT) in transmission, and the discrete wavelet packet transform (DWPT) in reception (known as discrete wavelet packet modulation). In our proposed architecture, we have exploited two transmission strategies: (i) one-to-many (OtM) for transmission between a single transmitter and multiple sensors, (ii) and a many-to-one (MtO) mode for transmission between multiple users and a single receiver. To improve the transmission quality with the same configuration, we have integrated corrective codes, in particular the different families of Reed Solomon and convolutional codes. This architecture offers a very high processing power and a versatility in terms of flexibility and configurability adapted to very noisy environments, especially industrial ones. The use of error-correcting codes improves the quality of the transmission compared to the state of the art. Where we have achieved a gain of 4 to 6dB for Reed Solomon coding and convolutional codes used individually, 5 to 10dB with the combination of these two codes and 2 to 4dB more for shortened Reed Solomon codes. Physical sciences/Nanoscience and technology/Techniques and instrumentation Physical sciences/Nanoscience and technology/Techniques and instrumentation/Design synthesis and processing Error Correcting Code Industrial Wireless Sensor Networks Industry 4.0 Industrial IoT Discrete Wavelet Packet Transform and Industrial Channel 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-3967383","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":289871568,"identity":"1dd44c5c-6a68-41d5-bd67-265899a8ecbe","order_by":0,"name":"Mouhamad Chehaitly","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/0lEQVRIiWNgGAWjYHACNhDB2MDAw8DMwCDBwMfAfICBwYBBhmgtEmwMbAkgLTzEamEAauExAIng1KLb3mP24GeOnWwD+9mDjwtqLOrYJHK+SRcUADUewK7F7MwZc8PebcnGDTx5ycYzjgEdJpG7TXqGAR4tN3LMJHi3MSc2SPCYSfOwQbXwENAi+XdbPUiL+W+efyAtOc8IapHm3XYYbAszbxtYCxt+LWeOlUnLbjtu3MaTYyzN2ych2cbzzNiax0CCRxKXluPN2yTfbquW7Wc/Y/iZ51sdPz978sPbPH9s5PhwaIEDNjhLIAFEShBQjwL4CZk+CkbBKBgFIw0AAOpRSoYbC/FnAAAAAElFTkSuQmCC","orcid":"","institution":"University of Luxembourg","correspondingAuthor":true,"prefix":"","firstName":"Mouhamad","middleName":"","lastName":"Chehaitly","suffix":""},{"id":289871569,"identity":"9daa7e06-3184-4e06-a139-9cd7e8c3f691","order_by":1,"name":"Mohamed Tabaa","email":"","orcid":"","institution":"École Marocaine des Sciences de l'Ingénieur","correspondingAuthor":false,"prefix":"","firstName":"Mohamed","middleName":"","lastName":"Tabaa","suffix":""},{"id":289871570,"identity":"44c3548c-e75d-4063-8c52-acd207b88b5f","order_by":2,"name":"Jorge Querol Borras","email":"","orcid":"","institution":"University of Luxembourg","correspondingAuthor":false,"prefix":"","firstName":"Jorge","middleName":"Querol","lastName":"Borras","suffix":""},{"id":289871571,"identity":"6ab725b0-1ffe-458d-b5ea-aefc27a827e9","order_by":3,"name":"Fabrice Monteiro","email":"","orcid":"","institution":"University of Lorraine","correspondingAuthor":false,"prefix":"","firstName":"Fabrice","middleName":"","lastName":"Monteiro","suffix":""},{"id":289871572,"identity":"bd8e1e35-7219-4b1c-b343-b28164763dc9","order_by":4,"name":"Symeon Chatzinotas","email":"","orcid":"","institution":"University of Luxembourg","correspondingAuthor":false,"prefix":"","firstName":"Symeon","middleName":"","lastName":"Chatzinotas","suffix":""}],"badges":[],"createdAt":"2024-02-18 15:49:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3967383/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3967383/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59470453,"identity":"dfc970d7-40d8-4e37-89a3-be43fcb8a5d4","added_by":"auto","created_at":"2024-07-02 07:30:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1793745,"visible":true,"origin":"","legend":"","description":"","filename":"reviewedChehaitlyFECv2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3967383/v1_covered_1328ff8f-8f2b-407c-91ed-b9150a3f19a1.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Error Correcting Codes Analysis for Wireless Industrial Communication based on Wavelet Packet Architecture.","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":"Error Correcting Code, Industrial Wireless Sensor Networks, Industry 4.0, Industrial IoT, Discrete Wavelet Packet Transform, and Industrial Channel","lastPublishedDoi":"10.21203/rs.3.rs-3967383/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3967383/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"With the evolution of applications, the implementation of processing algorithms has become more difficult due to the requirements in terms of throughput and complexity, which make the existing coding/decoding architectures unsuitable due to their insufficient computing capacity. Our objective in this paper is to analyze/study the integration of error-correcting codes into a functional digital architecture based on the inverse discrete wavelet packet transform (IDWPT) in transmission, and the discrete wavelet packet transform (DWPT) in reception (known as discrete wavelet packet modulation). In our proposed architecture, we have exploited two transmission strategies: (i) one-to-many (OtM) for transmission between a single transmitter and multiple sensors, (ii) and a many-to-one (MtO) mode for transmission between multiple users and a single receiver. To improve the transmission quality with the same configuration, we have integrated corrective codes, in particular the different families of Reed Solomon and convolutional codes. This architecture offers a very high processing power and a versatility in terms of flexibility and configurability adapted to very noisy environments, especially industrial ones. The use of error-correcting codes improves the quality of the transmission compared to the state of the art. Where we have achieved a gain of 4 to 6dB for Reed Solomon coding and convolutional codes used individually, 5 to 10dB with the combination of these two codes and 2 to 4dB more for shortened Reed Solomon codes.","manuscriptTitle":"Error Correcting Codes Analysis for Wireless Industrial Communication based on Wavelet Packet Architecture.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-11 12:45:49","doi":"10.21203/rs.3.rs-3967383/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":"930cebeb-f8b2-423f-9138-61808fe25752","owner":[],"postedDate":"April 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":30527536,"name":"Physical sciences/Nanoscience and technology/Techniques and instrumentation"},{"id":30527537,"name":"Physical sciences/Nanoscience and technology/Techniques and instrumentation/Design synthesis and processing"}],"tags":[],"updatedAt":"2024-07-02T07:30:21+00:00","versionOfRecord":[],"versionCreatedAt":"2024-04-11 12:45:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3967383","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3967383","identity":"rs-3967383","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.