Estudo da comunicação entre máquinas em cenários de baixa latência e alta confiabilidade

• Autor(a) principal: Souza, Welerson Santos [UNESP]
• Data de Publicação: 2019
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/203126; http://www.athena.biblioteca.unesp.br/exlibris/bd/capelo/2019-03-19/000912957.pdf
• topic: Internet; Sistemas de comunicação sem fio; Telecomunicações; Telecommunication; Wireless communication systems

The advent of the Internet of Things and the advancement of communication technologies will bring a new scenario to what we have in society today. About 50 billion devices are expected to communicate by using machine type communication. This type of communication critically depends on the uninterrupted availability of radio links, even with a minimal communication quality. Thus, the new systems will operate under Ultra-Reliable and Low-Latency Communication (URLLC). URLLC-based aplications include, for example, industrial automation, protection of smart grids, and vehicle-to-vehicle communications. These emerging applications convey critical information using short packets and require low latency and very high reliability. In this work, computational simulations using the Monte Carlo method are employed to obtain the performance figures regarding latency and energy efficiency of the system. In the scenarios under study, the radio-mobile channel incorporates degrading effects of large-scale fading, more specifically, path loss and shadowing. The system operates based on carrier sense multiple access strategies, using two backoff mechanisms, the conventional one and one that assigns priorities to the nodes of the network in order to decrease the latency of transmissions. In addition to the backoff mechanisms, two node clustering strategies are used to increase the energy efficiency of the network. The numerical results show that the implementation of the priority-based backoff mechanism in conjunction with the K-Means clustering strategy decreases the latency and increases the energy efficiency of the networks under study, thus guaranteeing the operation of the network in URLLC regime, suitable for machine type communications