| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 3.52 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
A implementação de dispositivos IoT em massa, para as suas várias aplicações, causa os problemas da utilização de um meio partilhado. Nomeadamente a colisão de tramas, que é agravada pelo facto de todas as estações escutarem as transmissões, o que faz com que o aumento da carga de tráfego devido à mobilidade de dispositivos seja uma preocupação na implementação destas redes. A probabilidade de colisões de tramas também é afetada por características de tráfego, particularmente na frequência com que transmite, o tamanho da transmissão e da carga útil. Não obstante, o fator mobilidade dos dispositivos Long Range (LoRa) introduz um nível adicional de complexidade, influenciando o desempenho das redes de forma muito relevante contribuindo para cenários interferentes e níveis de colisão que importam considerar e avaliar.
Pretende-se, assim, com esta tese investigar o desempenho desta rede em cenários de mobilidade e trânsito de dispositivos. Através do desenvolvimento e implementação de modelos de mobilidade e trânsito de dispositivos finais (nós), adaptativos às condições do canal, procura-se avaliar o desempenho global em cenários de mobilidade através de simulação (simulador LoRaSim), considerando como técnicas de acesso aleatório Carrier Sense Multiple Access (CSMA) Collision Avoidance and Detection (CAD) e CSMA Collision-Avoidance (CA).
The massive implementation of IoT devices and its several applications surfaces the problem of shared mediums. Namely frame collisions which are aggravated by the fact that every station is listening to transmissions which makes node mobility a concern on the implementation of these types of networks.Frame collision probability is also affected by traffic characteristics, particularly the period between transmissions, the size of a transmission and the payload. The mobility of LoRa (Long Range) devices adds a degree of complexity, influencing the performance of a network and contributing to interference scenarios and high collision probabilities that are crucial to consider and study. The goal of this thesis is to investigate the performance of LoRa networks with node mobility scenarios through the development and implementation of mobility models for the wireless nodes, which can adapt to channel conditions. Such Mobility scenarios will also be studied with the use of a python simulation environment named LoRaSim, in which several medium access control techniques like CSMA/CA and CSMA/CAD are implemented.
The massive implementation of IoT devices and its several applications surfaces the problem of shared mediums. Namely frame collisions which are aggravated by the fact that every station is listening to transmissions which makes node mobility a concern on the implementation of these types of networks.Frame collision probability is also affected by traffic characteristics, particularly the period between transmissions, the size of a transmission and the payload. The mobility of LoRa (Long Range) devices adds a degree of complexity, influencing the performance of a network and contributing to interference scenarios and high collision probabilities that are crucial to consider and study. The goal of this thesis is to investigate the performance of LoRa networks with node mobility scenarios through the development and implementation of mobility models for the wireless nodes, which can adapt to channel conditions. Such Mobility scenarios will also be studied with the use of a python simulation environment named LoRaSim, in which several medium access control techniques like CSMA/CA and CSMA/CAD are implemented.
Description
Dissertação de natureza científica para obtenção do grau de Mestre em Engenharia Eletrónica e Telecomunicações
Keywords
LoRa LoRaWAN WAN LPWAN Modelos de Mobilidade CSMA LoRa LoRaWAN WAN LPWAN Mobility Models
Citation
Alves, André Esteves Santos - Estudos do desempenho rádio LoraWan em cenários de mobilidade e trânsito de dispositivos. Lisboa: Instituto Superior de Engenharia de Lisboa, 2023. Dissertação de Mestrado