Search results for "LoRaWAN"

showing 5 items of 15 documents

A Coexistence Study of Low-Power Wide-Area Networks based on LoRaWAN and Sigfox

2023

According to IoT Analytics, NB-IoT, LoRaWAN, and Sigfox are today the most popular technologies for low-power wide-area networks (86% of the market), both in terms of end-user adoption as well as ecosystem support. While NB-IoT utilizes licensed bands, LoRaWAN and Sigfox both employ the sub-GHz ISM bands, potentially interfering with each other.In this paper, we present a thorough coexistence study between LoRaWAN and Sigfox, in realistic urban scenarios, with different duty cycles and traffic conditions. The choice of such scenarios and simulation parameters are supported by an in-depth lit-erature review, and simulations are based on the SEAMCAT simulator. The results offer new insights o…

Interference SEAMCAT LPWAN IoT ISM LoRaWAN LoRa Sigfox Coexistence CSS UNB2023 IEEE Wireless Communications and Networking Conference (WCNC)
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Predicting lorawan behavior. How machine learning can help

2020

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…

IoTComputer Networks and CommunicationsComputer scienceDecision treeChannel occupancy; cluster analysis; IoT; LoRa; LoRaWAN; machine learning; network optimization; prediction analysisMachine learningcomputer.software_genreChannel occupancyLoRalcsh:QA75.5-76.95network optimizationNetwork performanceProtocol (object-oriented programming)Profiling (computer programming)Artificial neural networkNetwork packetbusiness.industrySettore ING-INF/03 - TelecomunicazioniPipeline (software)LoRaWANHuman-Computer Interactionmachine learningprediction analysisArtificial intelligencelcsh:Electronic computers. Computer sciencebusinesscomputerCommunication channelcluster analysis
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Capture Aware Sequential Waterfilling for LoraWAN Adaptive Data Rate

2020

LoRaWAN (Long Range Wide Area Network) is emerging as an attractive network infrastructure for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative "sequential waterfilling" strategy for assigning Spreading Factors (SF) to End-Devices (ED). Our design relies on three complementary approaches: i) equalize the Time-on-Air of the packets transmitted by the system's EDs in each spreading factor's group; ii) balance the spreading factors across multiple access gateways, and iii) keep into account the c…

FOS: Computer and information sciencesComputer scienceDistributed computingInternet of ThingsWireless communicationresource allocationServers02 engineering and technologyNetwork topologyspreading factorsinter-SF interferenceComputer Science - Networking and Internet Architecturechannel captureBandwidthServerLPWAN0202 electrical engineering electronic engineering information engineeringWirelessComputer architectureElectrical and Electronic Engineeringinternet of t6hingsNetworking and Internet Architecture (cs.NI)Network packetbusiness.industryApplied MathematicsResource managementinternet of t6hings; LoRaWAN; spreading factors; resource allocation; adaptive data rate; channel capture; inter-SF interference020206 networking & telecommunicationsComputer Science ApplicationsLoRaWANadaptive data rateWide area networkScalabilityHeuristicsbusinessInterferenceUplinkCommunication channel
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Lorawan tehnoloğijas lietošana ar Raspberry Pi vārteju

2019

Teorētiskajā daļā tiek pētītas lietu interneta un LoRaWAN tehnoloģijas iespējas no klienta un servera viedokļa. Darba praktiskās daļas mērķis ir izveidot Raspberry Pi vārteju, kura spēj uztvert sensoru datus. Dati no vārtejas tiek apstrādāti izmantojot The Things Network, Loraserver un AllThingsTalk iespējas. Atslēgvārdi: Raspberry Pi, IoT, lietu internets, LoRaWAN.

IoTlietu internetsDatorzinātneRaspberry PiLoRaWAN
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Demo - A Cell-level Traffic Generator for LoRa Networks

2017

In this demo we present and validate a LoRa cell traffic generator, able to emulate the behavior of thousands of low-rate sensor nodes deployed in the same cell, by using a single Software Defined Radio (SDR) platform. Differently from traditional generators, whose goal is creating packet flows which emulate specific applications and protocols, our focus is generating a combined radio signal, as seen by a gateway, given by the super-position of the signals transmitted by multiple sensors simultaneously active on the same channel. We argue that such a generator can be of interest for testing different network planning solutions for LoRa networks.

IoTGenerator (computer programming)cell emulatorSettore ING-INF/03 - TelecomunicazioniComputer sciencebusiness.industryNetwork packet05 social sciences020206 networking & telecommunications02 engineering and technologySoftware-defined radioLoRaLoRaWANNetwork planning and designDefault gateway0502 economics and business0202 electrical engineering electronic engineering information engineeringWirelessSDRbusinessTraffic generation model050203 business & managementComputer networkCommunication channelProceedings of the 23rd Annual International Conference on Mobile Computing and Networking - MobiCom 17
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