Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

Rui Campos has a PhD degree in Electrical and Computers Engineering in 2011, from University of Porto. Currently, he leads the “Wireless Networks” research area (http://win.inescporto.pt) of the Centre for Telecommunications and Multimedia consisting of 30 researchers, and he is an IEEE Senior Member. He has coordinated several research projects, including: SIMBED in Fed4FIRE+ Open Call 3, UGREEN, BLUECOM+, MareCom, MTGrid, the WiFIX action approved in CONFINE Open Call 1, Mare-Fi, Under-Fi, ReCoop, and HiperWireless. Rui Campos has participated in several research projects, including the following European projects: H2020 Fed4FIRE+, H2020 RAWFIE, FP7 SUNNY, FP7 CONFINE, FP6 Ambient Networks Phase 1, and FP6 Ambient Networks Phase 2. His research interests include medium access control, radio resource management, mobility management, and network auto-configuration in emerging wireless networks, with special focus on flying networks, maritime networks, and underwater networks.

Interest
Topics
Details

Details

029
Publications

2019

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

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

Publication
Simulation Modelling Practice and Theory

Abstract

2019

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

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

Publication
IEEE Access

Abstract

2019

Energy Consumption Management for Dense Wi-Fi Networks

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

Publication
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

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

Publication
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

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

Publication
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.

Supervised
thesis

2018

Multidimensional performance assessment for complex manufacturing environments

Author
Cátia Sofia Rodrigues Barbosa

Institution
UP-FEUP

2017

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

Author
Filipe Miguel Monteiro da Silva e Sousa

Institution
UP-FEUP

2017

Topology Control of Flying Backhaul Mesh Networks

Author
Eduardo Nuno Moreira Soares de Almeida

Institution
UP-FEUP

2015

Joint MTU and Rate Adpative Mechanism for Maritime Wireless Networks

Author
Bruno Rafael Ribeiro Costa

Institution
UP-FEUP

2015

Topology control flying backhaul networks

Author
Eduardo Nuno Moreira Soares de Almeida

Institution
UP-FEUP