M
Marcelo S. Alencar
Researcher at Federal University of Bahia
Publications - 219
Citations - 1007
Marcelo S. Alencar is an academic researcher from Federal University of Bahia. The author has contributed to research in topics: Fading & Communication channel. The author has an hindex of 13, co-authored 199 publications receiving 870 citations. Previous affiliations of Marcelo S. Alencar include Federal University of Pernambuco & Federal University of Campina Grande.
Papers
More filters
Journal ArticleDOI
Survey and systematic mapping of industrial Wireless Sensor Networks
Diego V. Queiroz,Diego V. Queiroz,Marcelo S. Alencar,Ruan Delgado Gomes,Iguatemi E. Fonseca,César Benavente-Peces +5 more
TL;DR: This survey provides a structured overview of the standards used to implement industrial WSN, their advantages and drawbacks, and discusses the characteristics of the wireless channel in industrial environments.
Journal ArticleDOI
Real-time link quality estimation for industrial wireless sensor networks using dedicated nodes
Ruan Delgado Gomes,Diego V. Queiroz,Abel Cavalcante Lima Filho,Iguatemi E. Fonseca,Marcelo S. Alencar +4 more
TL;DR: A Link Quality Estimator (LQE) for Industrial WSN, and a new type of node, the LQE node, that estimates the link quality in real-time, using the Received Signal Strength Indication (RSSI), and information obtained from received data packets are proposed.
Journal ArticleDOI
The capacity for a discrete-state code division multiple-access channel
Marcelo S. Alencar,I.F. Blake +1 more
TL;DR: This work describes and analyzes a model for the discrete-input continuous-output Gaussian multiple-access channel, that uses spread spectrum techniques and uses the notion of sum capacity to characterize the system performance.
Journal ArticleDOI
Spatial Correlation for DoA Characterization Using Von Mises, Cosine, and Gaussian Distributions
TL;DR: In this paper, the authors presented mathematical expressions for the spatial correlation between elements of linear and circular antenna arrays, considering cosine, Gaussian, and Von Mises distributions, for the direction of arrival (DoA) of the electromagnetic wavelengths at the receiver antenna.
Journal ArticleDOI
Cognitive LF-Ant: a novel protocol for healthcare wireless sensor networks.
TL;DR: The Cognitive LF-Ant protocol for emergency reporting in healthcare wireless sensor networks is inspired by the natural behaviour of ants and a cognitive component provides the capabilities to dynamically allocate resources, in accordance with the emergency degree of each patient.