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Sobre

Rui Campos tem doutoramento em Engenharia Electrotécnica e de Computadores pela Universidade do Porto desde 2011. Atualmente, é coordenador da área de redes sem fios (http://win.inesctec.pt) no Centro de Telecomunicações e Multimédia composta por 30 investigadores, e é membro sénior do IEEE. Rui Campos tem vindo a coordenadar vários projetos de I&D+i, incluindo: SIMBED, UGREEN, BLUECOM+, MareCom, MTGrid, a ação WiFIX dentro do projeto FP7 CONFINE, Mare-Fi, Under-Fi, ReCoop e HiperWireless. Rui Campos tem igualmente participado em múltiplos projetos de I&D, incluindo os seguintes projetos europeus: H2020 RAWFIE, FP7 SUNNY, FP7 CONFINE, FP6 Ambient Networks Phase 1 e FP6 Ambient Networks Phase 2. Os seus interesses de investigação incluem os aspetos de controlo de acesso ao meio, gestão de recursos rádio, gestão de mobilidade e auto-configuração em redes emergentes, com especial foco nas redes formadas por plataformas voadoras, redes marítimas e redes subaquáticas. 

Tópicos
de interesse
Detalhes

Detalhes

030
Publicações

2019

Improving ns-3 Emulation Performance for Fast Prototyping of Routing and SDN Protocols: Moving Data Plane Operations to Outside of ns-3

Autores
Fontes, H; Cardoso, T; Campos, R; Ricardo, M;

Publicação
Simulation Modelling Practice and Theory

Abstract

2019

A Comprehensive Study On Enterprise Wi-Fi Access Points Power Consumption

Autores
Silva, P; Almeida, NT; Campos, R;

Publicação
IEEE Access

Abstract

2019

Energy Consumption Management for Dense Wi-Fi Networks

Autores
Silva, P; Almeida, NT; Campos, R;

Publicação
IFIP Wireless Days

Abstract
Wi-Fi networks lack energy consumption management mechanisms. In particular, during nighttime periods, the energy waste may be significant, since all Access Points (APs) are kept switched on even though there is minimum or null traffic demand. The fact that more than 80% of all wireless traffic is originated or terminated indoor, and served by Wi-Fi, has led the scientific community to look into energy saving mechanisms for Wi-Fi networks. State of the art solutions address the problem by switching APs on and off based on manually inserted schedules or by analyzing real-time traffic demand. The first are vendor specific; the second may induce frequent station (STA) handoffs, which has an impact on network performance. The lack of implementability of solutions is also a shortcoming in most works.We propose an algorithm, named Energy Consumption Management Algorithm (ECMA), that learns the daytime and nighttime periods of the Wi-Fi network. ECMA was designed having in mind its implementability over legacy Wi-Fi equipment. At daytime, the radio interfaces of the AP (2.4 GHz and 5 GHz) are switched on and off automatically, according to the traffic demand. At nighttime, clusters of APs, covering the same area, are formed, leaving one AP always switched on for basic coverage and the redundant APs swichted off to maximize energy savings, while avoiding coverage and performance hampering. Simulation results show energy savings of up to 50% are possible using the ECMA algorithm. © 2019 IEEE.

2019

ns-3 NEXT

Autores
Fontes, H; Lamela, V; Campos, R; Ricardo, M;

Publicação
Proceedings of the 2019 Workshop on ns-3 - WNS3 2019

Abstract

2019

ns-3 NEXT: Towards a reference platform for offline and augmented wireless networking experimentation

Autores
Fontes, H; Lamela, V; Campos, R; Ricardo, M;

Publicação
ACM International Conference Proceeding Series

Abstract
In the past years, INESC TEC has been working on using ns-3 to reduce the gap between Simulation and Experimentation. Two major contributions resulted from our work: 1) the Fast Prototyping development process, where the same ns-3 protocol model is used in a real experiment; 2) the Trace-based Simulation (TS) approach, where traces of radio link qualities and position of nodes from past experiments are injected into ns-3 to achieve repeatable and reproducible experiments. In this paper we present ns-3 NEXT, our vision for ns-3 to enable simulation and experimentation using the same platform. We envision ns-3 as the platform that can automatically learn from past experiments and improve its accuracy to a point where simulated resources can seamlessly replace real resources. At that point, ns-3 can either replace a real testbed accurately (Offline Experimentation) or add functionality and scale to testbeds (Augmented Experimentation). Towards this vision, we discuss the current limitations and propose a plan to overcome them collectively within the ns-3 community. © 2019 ACM.

Teses
supervisionadas

2018

Multidimensional performance assessment for complex manufacturing environments

Autor
Cátia Sofia Rodrigues Barbosa

Instituição
UP-FEUP

2017

Topology Control of Flying Backhaul Mesh Networks

Autor
Eduardo Nuno Moreira Soares de Almeida

Instituição
UP-FEUP

2017

Cooperation between wpan and wlan nodes for an efficient and interoperable communication

Autor
Filipe Miguel Monteiro da Silva e Sousa

Instituição
UP-FEUP

2015

Mesh network of surveillance cameras using FM radio as a control channel

Autor
João Pedro dos Santos Ribeiro Dias

Instituição
UP-FEUP

2015

A MAC Layer for Underwater Radio Communications

Autor
Filipe Borges Teixeira

Instituição
UP-FEUP