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J

José Ferreira de Rezende

Researcher at Federal University of Rio de Janeiro

Publications -  69
Citations -  324

José Ferreira de Rezende is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Quality of service & Node (networking). The author has an hindex of 10, co-authored 67 publications receiving 295 citations.

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On the security aspects of Internet of Things: A systematic literature review

TL;DR: The protocol adopted to perform the SLR is described and the state-of-the-art on the field is presented by describing the main techniques reported in the retrieved studies by the first study to compile information on a comprehensive set of security aspects in IoT.
Proceedings ArticleDOI

Channel sensing order for cognitive radio networks using reinforcement learning

TL;DR: This work proposes an approach using reinforcement learning to search dynamically for the optimal sensing order of channel sensing order used by a cognitive multichannel network, and results obtained are close to the optimal value provided by the brute-force and superior to the other mechanisms in most of the scenarios.
Proceedings ArticleDOI

A dynamic channel allocation mechanism for IEEE 802.11 networks

TL;DR: This work proposes a new automatic channel allocation mechanism for infra-structured IEEE 802.11 networks that works in an independent and distributed manner in access points and uses clients station’s measurements exchanged with the new IEEE802.11k standard.
Journal ArticleDOI

REUSE: A combined routing and link scheduling mechanism for wireless mesh networks

TL;DR: This work proposes the REUSE algorithm, which combines routing and link scheduling and aims to increase throughput capacity in wireless mesh networks and is compared to a developed linear programming model, and to other proposed mechanisms in the literature that also deal with the problem algorithmically.
Proceedings ArticleDOI

Easily-managed and topology-independent location service for self-organizing networks

TL;DR: This paper evaluates the Twins management operations in terms of fairness of space sharing and logical/geographic distances between nodes and their location servers to show that Twins assures a fair distribution of control overhead and scales well with the number of nodes.