Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 2 versions
addClaim

Simulating a CoAP Wireless Sensor Network using Cooja

Authors: Clerias Aguado, Pau;

Simulating a CoAP Wireless Sensor Network using Cooja

Abstract

Las redes de sensores inalámbricos, Wireless Sensor Networks (WSN) en inglés, se han convertido en los últimos años en parte fundamental de la Transformación Digital de industrias, ciudades, o agricultura, entre otros. Su capacidad de autoconfiguración y de transmisión inalámbrica de información, tanto por la red en sí como hacia Internet, las hacen muy útiles para explotar nuevas fuentes de información, con el objetivo de crear conocimiento que permita mejorar proceso productivos, servicios de ciudades, etc. En este trabajo, se desarrollará una WSN usando una herramienta de simulación conocida como Cooja. Los nodos que componen la red serían dotados de los mecanismos necesarios, CoAP en este caso, para que puede exponer la información que obtienen de sus sensores, con el objetivo de que otras herramientas, externas a la WSN, puedan aprovecharla. A continuación, se utilizarán estas herramientas para ilustrar el proceso de extracción y procesamiento de la información generada en la WSN, que sería empleada para generar conocimiento y valor. Por último, se llevará a cabo un análisis de la influencia que diferentes condiciones en el medio de comunicación y diferentes configuraciones de los nodos tienen sobre el comportamiento de la red de sensores. Este trabajo demostrará por qué las redes de sensores se han vuelto tan populares, mostrando también que el proceso de diseño de la misma es una tarea compleja en la que muchos factores deben tenerse en cuenta si se desea realizar un despliegue exitoso de la misma. Pero, más importante incluso, mostrar ´a la simbiosis que se establece entre el mundo físico de la red de sensores (fuente de información) y el mundo virtual o digital de las herramientas IT (destino de la información). Esta asociación es uno de los pilares de la Transformación Digital.

Wireless Sensor Networks (WSN) have become, in the past few years, a fundamental part of the Digital Transformation of industries, cities, or agriculture, just to name a few. Their ability to autoconfigure without human intervention, and to wirelessly relay data within the WSN an to the Internet, make them very useful to exploit untapped sources of information, in order to create new knowledge that could better processes, city services, etc. In this thesis, a WSN will be developed using a simulation tool known as Cooja. The nodes that compose it will be provided with mechanisms, CoAP in this case, to display the data they obtain from its sensors, so other tools, external to the WSN, can benefit from it. Then, these external tools will be used to illustrate the process of extracting and processing the data originated in the WSN, with the final objective of creating knowledge and value from it. Lastly, an analysis of how the WSN behaves under different medium conditions and node configurations will be carried out. This work will prove why the WSNs have become so popular, while also showing that their design is a difficult process in which many factors have to be taken into account if one wants to perform a successful deployment. But, most importantly, it will show the symbiosis that is established between the physical world of the WSN (data source) and the digital world of the IT tools (data destination). This association is one of the mainstays of the Digital Transformation.

Country
Spain
Related Organizations
Keywords

6LoWPAN, Telecomunicaciones, Cooja, Transformación Digital, Red de sensores inalámbricos (WSN), Digital Transformation, Wireless Sensor Network (WSN), Contiki

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 93
    download downloads 285
  • 93
    views
    285
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
93
285
Green