Fundamentals of Wireless Communication Link Design for Networked Robotics

Barriquello, Carlos Henrique; Silva, Flavio Eduardo Soares e; Bernardon, DanielPinheiro; Canha, Luciane Neves; Ramos, Maicon Jaderson DaSilveira; Porto, Daniel Sperb

doi:10.5772/intechopen.69873

Cited by 12 publications

(7 citation statements)

References 45 publications

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“…To attain this aim, future robots will need to be able to communicate effectively both among themselves and with people. [45] examined the principles of many communication methods as well as wireless communication for robotics networks. VOLUME XX, 2022…”

Section: Artificial Intelligence-based Methods For Data Exchange In Iortmentioning

confidence: 99%

Data Exchange Techniques for Internet of Robotic Things: Recent Developments

et al. 2022

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The world we live in is where a human-machine connection is a barometer, and this tendency is only growing to provide richer and universal human reminiscences. New technologies, as well as the fusion of different classes of current technologies, are used to create such unique solutions. The Internet of Robotic Things (IoRT) is the product of collaboration between robotics and the Internet of Things (IoT), which has opened up incredible potential for localized self-sufficient solutions. Robots can collect accurate data from the environment and provide a comprehensive service instantaneously. Being an amalgamation of two different concepts i.e. IoT and Robotics, the IoRT system is anticipated to benefit both by expanding their potential to innovative heights. This paper gives a concise introduction to the communication architecture of the IoRT system. The taxonomy of various data exchange protocols used in an IoRT system is proposed. The necessary improvements in protocols that are required to enhance communication in an IoRT system are presented. A Review of some data exchange methodologies based on Artificial Intelligence (AI) for secure and reliable communication is also given in this paper. The key motive of this paper is to understand the data exchange within an IoRT system using common communication protocols.

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Section: Artificial Intelligence-based Methods For Data Exchange In Iortmentioning

confidence: 99%

Data Exchange Techniques for Internet of Robotic Things: Recent Developments

et al. 2022

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“…The receiver sensitivity is the minimum signal power level to correctly receive the packets with an acceptable packet error rate (PER). In general, it is expected that the PER should be less than 1% [46]. The higher receiver sensitivity means better coverage to receive signals from further away [47].…”

Section: Coverage Analysismentioning

confidence: 99%

Coverage Analysis of LoRa and NB-IoT Technologies on LPWAN-Based Agricultural Vehicle Tracking Application

Soy

2023

Sensors

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This study focuses on the recently emerged Internet of Vehicles (IoV) concept to provide an integrated agricultural vehicle/machinery tracking system through two leading low power wide area network (LPWAN) technologies, namely LoRa and NB-IoT. The main aim is to investigate the theoretical coverage limits by considering the urban, suburban, and rural environments. Two vehicle tracking units (VTUs) have been designed for LoRa and NB-IoT connectivity technologies that can be used as reference hardware in coverage analysis. On this basis, the closed-form explicit analytical expressions of the maximum transmission range have been derived using the Hata path loss model. Besides, the computer simulation results have been validated via the maps from XIRIO online radio planning tool. In light of the obtained findings, several evaluations have been made to enhance the LPWAN-based agricultural vehicle tracking feasibility in smart farms.

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“…El medioambiente que rodea a un radioenlace LoRa se ve gravemente afectado por las obstrucciones que pudieran encontrarse en la trayectoria de visión entre las antenas (Jiang, 2020), (Khutsoane, 2017). La forma en se atiende la problemática que representan las obstrucciones y plantear el despeje del radioenlace, es esquematizar la zona de Fresnel (Barriquello, 2018). La Zona de Fresnel no es más que el área alrededor de la línea de visión en la dirección en que se propagan las ondas de radio después de emanar de la antena.…”

Section: Cobertura De La Claridad De Fresnel En Lora Iotunclassified

Cobertura de la claridad de Fresnel en LoRa IoT

Pérez-Trujillo

Galicia-Santos

Leon-Paredes

et al. 2022

ICBI

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El desarrollo de sistemas de monitoreo de variables desde una perspectiva de cobertura amplia, en lugares remotos, con la necesidad de telemetría en tiempo real sin acceso a energía y que funcionen por largos periodos, hace que las tecnologías actuales LoRa IoT, brinden servicios de conectividad en entornos como ríos, lagos, bosques entre otros. Esto permite tener sensores que realicen una telemetría de variables propias de la agricultura, ganadería, piscicultura entre otras. Estos sensores se expanden creando redes inalámbricas que transmiten datos a grandes distancias. Para obtener una buena cobertura que garantice la conectividad es necesario que los sistemas de comunicación de largo alcance presenten un análisis de libramiento de la claridad de Fresnel que muestran las condiciones técnicas de operación. Se presenta el análisis de la claridad y despeje cobertura de la primer zona de Fresnel de dispositivos IoT con conectividad LoRa. El análisis y diseño de la comunicación inalámbrica de dispositivos IoT, presentan un perfil de alturas de antenas, curvatura terrestre y la estimación del libramiento de obstáculos entre las antenas, garantizando que la perdida de señal no rebase la claridad del 60% de la primera zona de Fresnel. Las métricas obtenidas son: primer radio de la Zona de Fresnel: 9.037 metros de radio a 0.5 Km; 60% de radio sin obstáculos: 5.4319 metros: Distancia total del enlace: 1 km Distancia del obstáculo: 0.5 km Frecuencia: 915 MHz

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Fundamentals of Wireless Communication Link Design for Networked Robotics

Cited by 12 publications

References 45 publications

Data Exchange Techniques for Internet of Robotic Things: Recent Developments

Data Exchange Techniques for Internet of Robotic Things: Recent Developments

Coverage Analysis of LoRa and NB-IoT Technologies on LPWAN-Based Agricultural Vehicle Tracking Application

Cobertura de la claridad de Fresnel en LoRa IoT

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