COOPERATIVE TRANSMISSION OF LARGE FILES OVER LORA IN MULTIMEDIA IOT NETWORKS

dc.contributor.authorNurbay, Temirlan
dc.date.accessioned2024-05-19T15:10:38Z
dc.date.available2024-05-19T15:10:38Z
dc.date.issued2024-04-26
dc.description.abstractThe increasing use of Multimedia Internet of Things (MIoT) devices in remote areas requires effective multimedia data transfer over large, energy-limited wireless networks. While Low-Power Wide-Area Networks (LPWANs), especially those utilizing LoRa (Long Range) technology, offer a promising solution with their broad coverage and energy efficiency, they are not well-suited for transmitting large amounts of multimedia data as they were originally designed for small-scale sensor data. This thesis presents a new approach that enhances the ability of LoRa networks to effectively handle large-scale multimedia data. We propose an algorithm that improves data transmission efficiency by encouraging cooperation among neighboring devices. The effectiveness of our algorithm is confirmed through detailed theoretical and practical evaluation, showing major improvements over method that evenly distributes the data between neighbors. It performs exceptionally well in challenging environments with different success rates and spreading factors, proving to be reliable under heavier data loads and achieving better overall data transmission times.en_US
dc.identifier.citationNurbay Temirlan (2024). Cooperative Transmission of Large Files Over LoRa in Multimedia IoT Networks. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7690
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjecttype of access: restricted accessen_US
dc.subjectMIoTen_US
dc.subjectLoRaen_US
dc.titleCOOPERATIVE TRANSMISSION OF LARGE FILES OVER LORA IN MULTIMEDIA IOT NETWORKSen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

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