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About

About

Manuel Ricardo received in 2000 a PhD degree in Electrical and Computers Engineering from Porto University. He is a professor at the Faculty of Engineering of the University of Porto, where he gives courses in mobile communications and computer networks. He also leads the Centre for Telecommunications and Multimedia of the INESC TEC research institute.

Interest
Topics
Details

Details

022
Publications

2019

Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

Authors
Kandasamy, S; Morla, R; Ramos, P; Ricardo, M;

Publication
Wireless Networks

Abstract
In IEEE 802.11 based wireless networks interference increases as more access points are added. A metric helping to quantize this interference seems to be of high interest. In this paper we study the relationship between the (Formula presented.) metric, which captures interference, and throughput for IEEE 802.11 based network using directional antenna. The (Formula presented.) model was found to best represent the relationship between the interference metric and the network throughput. We use this model to predict the performance of similar networks and decide the best configuration a network operator could use for planning his network. © 2017 Springer Science+Business Media, LLC

2018

Traffic-aware multi-tier flying network: Network planning for throughput improvement

Authors
Almeida, EN; Campos, R; Ricardo, M;

Publication
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, April 15-18, 2018

Abstract

2018

Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications

Authors
Coelho, A; Lopes, M; Ferreira, B; Campos, R; Ricardo, M;

Publication
2018 Wireless Days, WD 2018, Dubai, United Arab Emirates, April 3-5, 2018

Abstract

2018

Improving the ns-3 TraceBasedPropagationLossModel to support multiple access wireless scenarios

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

Publication
Proceedings of the 10th Workshop on ns-3, WNS3 2018, Surathkal, India, June 13-14, 2018

Abstract

2018

Green Wireless Video Sensor Networks Using Low Power Out-of-Band Signalling

Authors
Sousa, F; Dias, J; Ribeiro, F; Campos, R; Ricardo, M;

Publication
IEEE ACCESS

Abstract
The availability of low cost networked wireless devices and video cameras is enabling wireless video sensor networks (WVSNs), which can be used in scenarios such as healthcare, agriculture, smart cities, intelligent transportation systems, and surveillance. These scenarios typically require that each node sends a video stream to a server located in the cloud. The IEEE 802.11 is considered a suitable technology for transmitting video wirelessly, as it supports high data rates. However, when using a multi-hop topology to extend the IEEE 802.11 coverage, the IEEE 802.11-based WVSNs suffer from three problems: low network capacity, throughput unfairness, and energy inefficiency. To overcome these problems, we propose a holistic solution, named Green wiReless vidEo sENsor NEtworks uSing out-of-band Signalling (GREENNESS). GREENNESS combines a node polling mechanism with the use of out-of-band signaling over a low power radio to signal when a video sensor should switch ON and OFF its IEEE 802.11 interface, thus saving energy. The results obtained for random network topologies show that GREENNESS can achieve energy savings up to 92%, and improve network capacity and throughput fairness when compared to state of the art CSMA/CA-based WVSN solutions.

Supervised
thesis

2017

Application-driven Wireless Sensor Networks

Author
Bruno Filipe Lopes Garcia Marques

Institution
UP-FEUP

2017

Topology Control of Flying Backhaul Mesh Networks

Author
Eduardo Nuno Moreira Soares de Almeida

Institution
UP-FEUP

2017

Modeling the processing delays of Internet of Things nodes in the ns3 network simulator

Author
Guilherme Daniel Gonçalves Ferreira

Institution
UP-FEUP

2017

Integração do Samba 4 na plataforma IPBRICK para criar um Active Directory Open Source

Author
João Pedro Leite de Castro

Institution
UP-FEUP

2017

Wireless Underwater Broadband and Long Range Communications using Underwater Drones as Data Mules

Author
Leonel Gaspar da Costa Soares

Institution
UP-FEUP