Generic sensor network for building monitoring: design, issues, and methodology

Kifouche, Abdenour; Baudoin, Geneviève; Hamouche, Rédha; Kocik, Rémy

doi:10.1109/icwise.2017.8267158

Cited by 10 publications

(10 citation statements)

References 2 publications

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“…A medida que el número de nodos aumenta, el coste del equipo se vuelve más relevante. A continuación, se listan cuatro características usadas para la selección de las componentes del nodo sensor [13]:…”

Section: Selección Del Hardwareunclassified

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Sistema de comunicación de respaldo mediante tecnología LoRa con hardware y software abierto para aplicaciones de robótica de emergencias

Balmaceda¹,

Arrabal²,

Vázquez-Martín³

et al. 2021

Xlii Jornadas De Automática : Libro De Actas

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Los sistemas de comunicación entre nodos sensores y los equipos de búsqueda y rescate presentan posibles vulnerabilidades ante emergencias o catástrofes, como el fallo de la infraestructura del sistema o la saturación de la red. Por ello, es necesario evaluar alternativas para garantizar la disponibilidad del sistema y los datos necesarios para la estrategia del equipo. Los requerimientos de una red de largo alcance y bajo consumo apuntan a evaluar las distintas tecnologías que engloban las redes LPWAN (Low Power, Wide Area Network). Entre ellas, destaca el protocolo LoRaWAN (Long Range, Wide Area Network) por ofrecer una flexibilidad operativa que no tienen los demás. De lado del hardware, se realizó una selección de componentes abiertos para los nodos sensores y el gateway. Para conseguir una red ad-hoc se ha usado el proyecto ChirpStack como servidor de red y de aplicación. Finalmente, se ha integrado el software de aplicación QGIS con la base de datos PostgreSQL que almacena los datos en la misma tarjeta host del gateway. El sistema fue probado en las XV Jornadas Internacionales de la Universidad de Málaga sobre Seguridad, Emergencias y Catástrofes. El código y la documentación del sistema presentado en este artículo está disponible en https://github.com/jjflozano/BackUpCommLoRa.

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Section: Selección Del Hardwareunclassified

“…El nodo o dispositivo final está compuesto por los siguientes bloques (en la Figura 2: Diagrama de bloques del nodo sensor se muestra un diagrama de bloques típico de un nodo sensor con una arquitectura modular) [13]:…”

Section: Selección Del Hardwareunclassified

Sistema de comunicación de respaldo mediante tecnología LoRa con hardware y software abierto para aplicaciones de robótica de emergencias

Balmaceda¹,

Arrabal²,

Vázquez-Martín³

et al. 2021

Xlii Jornadas De Automática : Libro De Actas

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“…Different work effort put such as generic sensor framework [133] for IoT, analysis of LoRa for smart metering [134,135], undermine and soils [136][137][138][139], propagation analysis of indoor (Smart Buildings) [140] and campuses [141], industrial use cases [142,143], aerospace [144] and satellite communications [145], verticular smart city applications [146], remote on/off switches [147], multi hop monitoring system [148] and enegery efficient monitoring systems [149], military use cases for troop tracking [150] and public use case for tracking kids [151].…”

Section: Lorawan Applicationsmentioning

confidence: 99%

A Survey on LoRaWAN Architecture, Protocol and Technologies

et al. 2019

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Internet of Things (IoT) expansion led the market to find alternative communication technologies since existing protocols are insufficient in terms of coverage, energy consumption to fit IoT needs. Low Power Wide Area Networks (LPWAN) emerged as an alternative cost-effective communication technology for the IoT market. LoRaWAN is an open LPWAN standard developed by LoRa Alliance and has key features i.e., low energy consumption, long-range communication, builtin security, GPS-free positioning. In this paper, we will introduce LoRaWAN technology, the state of art studies in the literature and provide open opportunities. Several LPWANs emerged on both licensed and unlicensed bands, LoRaWAN, Sigfox and, NB-IoT are widely deployed vital technologies [3].Sigfox is an ultra-narrow band network that is patented and operated by Sigfox. Sigfox occupies 100 Hz and operates at 433MHz, 868MHz and 915MHz frequencies depending on the geographical regions. Technology has strict constraints on the number of packets (140 per day) and the packet size (12 bytes) to be sent. Also, LoRaWAN has similar policies to prevent network congestion allowing channels to be available only %1 duty-cycle for EU 868MHz (See Section 2.4.7). NB-IoT is an ultra-narrow band technology developed by the 3GPP group which can be adopted on GSM and LTE networks. It occupies 200 MHz bandwidth and can reach up to 200 kbps data transmission speed. Compared to LoRaWAN, Sigfox and NB-IoT operated by global network operators which limit deployments of the private networks [4].An overview comparison of the three networks is shown in Table 1. When LPWAN characteristics are considered LoRaWAN becomes a strong candidate for both scientific and industrial uses cases.LoRa referrer to Long Range and a physical layer technology patented by Semtech [5].LoRaWAN is an open protocol proposed by the LoRa Alliance which enables the MAC layer for the network [6].In this study, we will introduce the technological aspects of LoRaWAN and the state of art studies fulfilled about LoRaWAN till today. LoRaWAN protocol was first released in 2015 and had a few minor revisions, the differences in the protocol has been highlighted in the relevant subsection. In the survey, we will introduce LoRaWAN in depth both technological aspects and the use cases of its different areas. We categorized literature studies as in Figure 1. Studies are classified as two main sections; network technology and the applications, each section has own sub-branches. The majority of the work is focused on the coverage tests and applicability of the technology for different fields from large scale smart city applications to personal tracking assets. However, there are still gaps in the literature where researchers can address these problems such as post-disaster communication, decentralized networks, network management, and Adaptive Data Rate.

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“…The sensors are distributed in building rooms to collect data. We have designed our sensor nodes that can sense temperature, luminosity, humidity, Co2, and voc (volatile organic compounds). Each sensor node have three sensing devices and battery link so, at the end, it can provide four measurements.…”

Section: Framework Evaluationmentioning

confidence: 99%

Model driven framework to enhance sensor network design cycle

Kifouche

Hamouche²,

Kocik³

et al. 2019

Trans Emerging Tel Tech

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Recent advances in sensor network provide more and more equipment with a large amount of sensors and actuators. However, their adoptions in modern life face several challenges. First, sensor network design is complex and requires several steps including network sizing, hardware and software development, deployment, and data exploitation. Often, each step is managed by a particular tool. These tools are rarely connected to each other. Therefore, descriptions are required in each used tool. These multiple descriptions are costly in terms of development time and can lead to design errors. In order to address these issues, we propose a new model-driven framework named Modesene to efficiently design a sensor network for different kind of application. Modesene is designed to ensure four main process including multifacets modeling, network simulations, deployment, and data exploitation. The proposed framework supports sensor network tools by providing bridges with these tools. Therefore, one description in Modesene can be automatically transformed in each used tool. The framework can perform simulations and code generation. It promotes a data-driven approach; in fact, data obtained by simulations is used to drive design choices. We validate our framework through use case of smart building with two possible solutions. Based on Omnet++ simulator, Modesene can assess node lifetime, costs, and packets loss. Thereafter, the obtained results drive the choice of the suitable solution. Then, the code generator provides source codes for sensor nodes, gateway nodes, and for data exploitation. Compared to existing frameworks, Modesene deals with all design steps. Abbreviations: IoT, internet of things; WSN, Wireless sensor network Trans Emerging Tel Tech. 2019;30:e3560. wileyonlinelibrary.com/journal/ett communication technologies), and sink node (to collect and process data). Nodes can use different communication media to transmit and receive data (eg, wired channel, wireless channel, optical channel). Wireless communications are the most used in modern sensor networks because, in a large scale network, it becomes difficult or impossible to link nodes by wired channels. In Wireless Sensor Network (wsn), nodes can have different communication technologies (eg, ZigBee, 4 Bluetooth, 5 rfid, 6,7 ). Each technology has specific characteristics such as throughput and range. Sensor network development involves different steps including network sizing, software and hardware development, analyses and simulations, physical deployment, and data exploitation. These steps can be grouped in sensor network life cycle terminology. The motivations of our work are related to the fact that sensor network design requires to deal with many domains, involving many actors such as hardware engineer, software developer, and network expert. Data collected from sensor network may be also used by nontechnical actor, such as doctors in health domain. Therefore, many domain specific tools are used through the life cycle to help actors involved in each step. T...

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Generic sensor network for building monitoring: design, issues, and methodology

Cited by 10 publications

References 2 publications

Sistema de comunicación de respaldo mediante tecnología LoRa con hardware y software abierto para aplicaciones de robótica de emergencias

Sistema de comunicación de respaldo mediante tecnología LoRa con hardware y software abierto para aplicaciones de robótica de emergencias

A Survey on LoRaWAN Architecture, Protocol and Technologies

Model driven framework to enhance sensor network design cycle

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