Search results for " LoRaWAN"

showing 9 items of 9 documents

Exploratory approach for network behavior clustering in LoRaWAN

2021

AbstractThe interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the behavior of such systems in order to characterize and improve their functionality. In these IoT systems, many data related to device and human interactions are stored in databases, as well as I…

IoTGeneral Computer ScienceComputer sciencek-meansReliability (computer networking)02 engineering and technologyLoRaMachine LearningHome automation0202 electrical engineering electronic engineering information engineeringCluster AnalysisWirelessCluster analysisIoT LoRa LoRaWAN Machine Learning k-means Anomaly Detection Cluster AnalysisNetwork packetbusiness.industry020206 networking & telecommunicationsIoT; LoRa; LoRaWAN; Machine Learning; k-means; Anomaly Detection; Cluster AnalysisLoRaWANWireless network interface controllerScalabilityAnomaly Detection020201 artificial intelligence & image processingAnomaly detectionbusinessComputer networkJournal of Ambient Intelligence and Humanized Computing
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Discovery privacy threats via device de-anonymization in LoRaWAN

2021

LoRaWAN (Long Range WAN) is one of the well-known emerging technologies for the Internet of Things (IoT). Many IoT applications involve simple devices that transmit their data toward network gateways or access points that, in their turn, redirect data to application servers. While several security issues have been addressed in the LoRaWAN specification v1.1, there are still some aspects that may undermine privacy and security of the interconnected IoT devices. In this paper, we tackle a privacy aspect related to LoRaWAN device identity. The proposed approach, by monitoring the network traffic in LoRaWAN, is able to derive, in a probabilistic way, the unique identifier of the IoT device from…

Information privacyIoTDe-anonymizationde-anonymizationsComputer scienceEmerging technologiesComputer Networks and CommunicationsInternet of ThingsDevice identificationcomputer.software_genreComputer securityprivacyLoRaSecurity and privacyUnique identifierDe-anonymizationLoRaWAN; Security; privacy; de-anonymizationsLorawanApplication serverNetwork packetProbabilistic logicIdentification (information)internet of things; lora; lorawan; security; privacy; network optimizationSecuritycomputerNetwork optimizationComputer Communications
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A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

050101 languages & linguisticsIoTComputer scienceIoT; LoRa; LoRaWAN; machine learning; k-means; anomaly detection; cluster analysisk-means02 engineering and technologyLoRaSilhouette0202 electrical engineering electronic engineering information engineeringProfiling (information science)Wireless0501 psychology and cognitive sciencesCluster analysisbusiness.industryNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesk-means clusteringanomaly detectionLoRaWANmachine learning020201 artificial intelligence & image processingAnomaly detectionInternet of ThingsbusinessComputer networkcluster analysis
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Performance of LoRa for Bike-Sharing Systems

2019

Today bike sharing systems are becoming popular in many cities as short-distance transit vehicles. More than 18 million bicycles are available worldwide for public use and one of the main problems that afflicts such sharing systems is the loss of bikes, which can be stolen or simply left in unknown locations. Thus, many bikes are docked or tracked using GPS and costly cellular connections. In this paper, we consider the emerging Long Range (LoRa) technology for use in bike sharing systems. LoRa exploits free ISM bands and has been conceived for low power and low data rate applications. Additionally, LoRa is characterized by large cells and heterogeneous application domains, which may lead t…

ExploitSettore ING-INF/03 - Telecomunicazionibusiness.industryComputer science020209 energy020208 electrical & electronic engineeringAutomotive industry02 engineering and technologyScalabilityLow data rate0202 electrical engineering electronic engineering information engineeringGlobal Positioning SystemBike sharingbusinessInternet of ThingsLoRa LoRaWAN Low Power Wide Area Net-works (LPWAN) Automotive Vehicular Network (VANET) bikebike-sharing tracker IoTComputer network2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
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A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

2023

This paper provides a survey on the adoption of LoRa in the agricultural field, and reviews state-of-the-art solutions for Smart Agriculture, analyzing the potential of this technology in different infield applications. In particular, we consider four reference scenarios, namely irrigation systems, plantation and crop monitoring, tree monitoring, and livestock monitoring, which exhibit heterogeneous requirements in terms of network bandwidth, density, sensors’ complexity, and energy demand, as well as latency in the decision process. We discuss how LoRa-based solutions can work in these scenarios, analyzing their scalability, interoperability, network architecture, and energy-efficiency. Fi…

Settore ING-INF/03 - TelecomunicazioniComputer Networks and CommunicationsHardware and ArchitectureSignal ProcessingInternet of Things Internet of Things (IoT) LoRa LoRaWAN LPWAN Monitoring Power demand Precision Agriculture Sensors Smart Agriculture Smart farming Temperature sensors Wireless sensor networks Wireless Sensor Networks (WSN)Settore ING-INF/01 - ElettronicaComputer Science ApplicationsInformation SystemsIEEE Internet of Things Journal
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Leakage Detection via Edge Processing in LoRaWAN-based Smart Water Distribution Networks

2022

The optimization and digitalization of Water Distribution Networks (WDNs) are becoming key objectives in our modern society. Indeed, WDNs are typically old, worn and obsolete. These inadequate conditions of the infrastructures lead to significant water loss due to leakages inside pipes, junctions and nodes. It has been measured that in Europe the average value of lost water is about 26 %. Leakage control in current WDNs is typically passive, repairing leaks only when they are visible. Emerging Low Power Wide Area Network (LPWAN) technologies, and especially IoT ones, can help monitor water consumption and automatically detect leakages. In this context, LoRaWAN can be the right way to deploy…

Machine Learning Water Distribution Network Leakage Detection IoT LoRaWAN LoRa DecisionTree Classificator
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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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