11 research outputs found

    Analysis of LoRaWAN Uplink with Multiple Demodulating Paths and Capture Effect

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    Low power wide area networks (LPWANs), such as the ones based on the LoRaWAN protocol, are seen as enablers of large number of IoT applications and services. In this work, we assess the scalability of LoRaWAN by analyzing the frame success probability (FSP) of a LoRa frame while taking into account the capture effect and the number of parallel demodulation paths of the receiving gateway. We have based our model on the commonly used {SX1301 gateway chipset}, which is capable of demodulating {up to} eight frames simultaneously; however, the results of the model can be generalized to architectures with arbitrary number of demodulation paths. We have also introduced and investigated {three} policies for Spreading Factor (SF) allocation. Each policy is evaluated in terms of coverage {probability}, {FSP}, and {throughput}. The overall conclusion is that the presence of multiple demodulation paths introduces a significant change in the analysis and performance of the LoRa random access schemes

    Performance Modelling and Network Monitoring for Internet of Things (IoT) Connectivity

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    LoRa-E: Overview and Performance Analysis

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    International audienceLong Range-Frequency Hopping Spread Spectrum(LR-FHSS) is the new physical layer designed to addressextremely long-range and large-scale communication scenarios,such as satellite IoT. At its core is a fast frequency hoppingtechnique designed to offer higher network capacity whileoffering the same radio link budget as LoRa. Additionally,LR-FHSS finely manages packet transmission thanks to its designprinciples, enabling QoS policies on a per-packet basis. Giventhe notorious adoption of LoRaWAN in the IoT applicationlandscape, this article is a reference for understanding howexactly LR-FHSS works, the performance it can offer, and itslimitations and research opportunities

    Implementación de Lora y Lorawan como escenario futuro de la industrias 4.0 en el sector agroindustrial peruano

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    El panorama actual del sector agroindustrial exige la inclusión de nuevas tecnologías que contribuyan a solucionar los constantes problemas a los que se enfrenta. Internet of Things se presenta como una alternativa para mitigarlos; sin embargo, las implementaciones de esta tecnología se realizan con el uso de redes de datos tradicionales como Wifi o redes celulares, las cuales representan un alto costo y consumo de energía. En esta investigación se realizó un análisis de la arquitectura y funcionamiento de la tecnología LoRa y el protocolo LoRaWAN, además de plantearse una serie de recomendaciones de cómo implementarla conjuntamente con otras tecnologías emergentes como es el BlockChain, todo esto, aplicado a la agroindustria peruana

    Development and Implementation of a Hybrid Wireless Sensor Network of Low Power and Long Range for Urban Environments

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    The urban population, worldwide, is growing exponentially and with it the demand for information on pollution levels, vehicle traffic, or available parking, giving rise to citizens connected to their environment. This article presents an experimental long range (LoRa) and low power consumption network, with a combination of static and mobile wireless sensors (hybrid architecture) to tune and validate concentrator placement, to obtain a large coverage in an urban environment. A mobile node has been used, carrying a gateway and various sensors. The Activation By Personalization (ABP) mode has been used, justified for urban applications requiring multicasting. This allows to compare the coverage of each static gateway, being able to make practical decisions about its location. With this methodology, it has been possible to provide service to the city of Malaga, through a single concentrator node. The information acquired is synchronized in an external database, to monitor the data in real time, being able to geolocate the dataframes through web mapping services. This work presents the development and implementation of a hybrid wireless sensor network of long range and low power, configured and tuned to achieve efficient performance in a mid-size city, and tested in experiments in a real urban environment.Spanish project RTI2018-093421-B-I0

    Analysis of Latency and MAC-layer Performance for Class A LoRaWAN

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    We propose analytical models that allow us to investigate the performance of long range wide area network (LoRaWAN) uplink in terms of latency, collision rate, and throughput under the constraints of the regulatory duty cycling, when assuming exponential inter-arrival times. Our models take into account sub-band selection and the case of sub-band combining. Our numerical evaluations consider specifically the European ISM band, but the analysis is applicable to any coherent band. Protocol simulations are used to validate the proposed models. We find that sub-band selection and combining have a large effect on the quality of service (QoS) experienced in an LoRaWAN cell for a given load. The proposed models allow for the optimization of resource allocation within a cell given a set of QoS requirements and a traffic model
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