Publication: Posicionamiento indoor con 6LoWPAN
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2020
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Abstract
El posicionamiento indoor no es un tema nuevo dentro del mundo de las tecnologías de la información. Sin embargo, existen múltiples formas de comunicación que intentan aprovechar sus particulares bondades para potenciar esta funcionalidad dependiendo del ecosistema donde se quiera utilizar. Por ejemplo, no se requiere la misma precisión si queremos guiar a una persona con movilidad reducida, o si nuestro objetivo es descubrir patrones de movimiento de personas en un centro comercial. Además, el consumo de batería en los diferentes dispositivos tampoco se comportaría de igual forma ni requeriría la misma atención en función del escenario de aplicación.
Este trabajo se centra en un caso de uso muy habitual dentro del mundo industrial, que es el tracking de activos en una planta de manufactura.
La tecnología 6LoWPAN, junto con el protocolo RPL diseñado específicamente para redes de bajo consumo de energía, nos presenta una oportunidad muy interesante para el estudio de este caso de uso.
En este trabajo se realiza un estudio del funcionamiento del protocolo RPL que implementa el sistema operativo Contiki, con el fin de modificarlo para calcular las coordenadas de un nodo en función de sus nodos vecinos de los cuales se conocen sus coordenadas y su RSSI (Received Signal Strentgh Indication). Para ello, se utiliza el simulador Cooja como base para realizar las pruebas de la implementación y estudiar el comportamiento de la red en cuanto a los tiempos de convergencia de esta.
Indoor positioning is not a new issue in the world of information technology. However, there are many forms of communication that try to take advantage of its particular benefits to enhance this functionality depending on the ecosystem where it will be used. For example, the same accuracy is not required if we want to guide a person with reduced mobility, or if our objective is to discover movement patterns for people in a shopping centre. Besides, the battery consumption in the different devices would not be the same either. This paper focuses on a very common case in the industrial world, which is the tracking assets in a manufacturing plant. The 6LoWPAN technology together with the RPL protocol designed specifically for low energy consumption networks, give us a very interesting opportunity to study this use case. In this project, a study of the functioning of the RPL protocol implemented by the Contiki operating system is carried out in order to modify it to calculate the coordinates of a node based on neighbors’ nodes whose coordinates and RSSI (Received Signal Strentgh Indication) are known. The Cooja simulator is used as a basis to test the implementation and study the behavior of the network in terms of convergence times.
Indoor positioning is not a new issue in the world of information technology. However, there are many forms of communication that try to take advantage of its particular benefits to enhance this functionality depending on the ecosystem where it will be used. For example, the same accuracy is not required if we want to guide a person with reduced mobility, or if our objective is to discover movement patterns for people in a shopping centre. Besides, the battery consumption in the different devices would not be the same either. This paper focuses on a very common case in the industrial world, which is the tracking assets in a manufacturing plant. The 6LoWPAN technology together with the RPL protocol designed specifically for low energy consumption networks, give us a very interesting opportunity to study this use case. In this project, a study of the functioning of the RPL protocol implemented by the Contiki operating system is carried out in order to modify it to calculate the coordinates of a node based on neighbors’ nodes whose coordinates and RSSI (Received Signal Strentgh Indication) are known. The Cooja simulator is used as a basis to test the implementation and study the behavior of the network in terms of convergence times.
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Máster en Internet de las Cosas, Facultad de Informática UCM, Departamento de Arquitectura de Computadores y Automática, Curso 2019/2020.