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Arliones Hoeller

Researcher at Universidade Federal de Santa Catarina

Publications -  23
Citations -  300

Arliones Hoeller is an academic researcher from Universidade Federal de Santa Catarina. The author has contributed to research in topics: Wireless sensor network & LPWAN. The author has an hindex of 7, co-authored 23 publications receiving 178 citations. Previous affiliations of Arliones Hoeller include University of Oulu & Santa Catarina Federal Institute of Education, Science and Technology.

Papers
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Journal ArticleDOI

Analysis and Performance Optimization of LoRa Networks With Time and Antenna Diversity

TL;DR: Results show that LoRa networks are highly sensitive to the increase in user and traffic density, but both message replication and multiple antennas can enhance performance.
Journal ArticleDOI

Hybrid Coded Replication in LoRa Networks

TL;DR: In this paper, the authors proposed a hybrid coded message replication scheme that interleaves simple repetition and a recently proposed coded replication method to increase the reliability and scalability of LoRaWAN.
Journal ArticleDOI

K-Means Spreading Factor Allocation for Large-Scale LoRa Networks.

TL;DR: This research work contributes to the problem of LoRa spreading factor (SF) allocation by proposing an algorithm on the basis of K-means clustering that improves the network’s average coverage probability up to 5 percentage points when compared to the baseline model.
Book ChapterDOI

A Hierarchical Approach for Power Management on Mobile Embedded Systems

TL;DR: This paper proposes a simplified interface for power management of software and hardware components based on the hierarchical organization of such components in a component-based operating system and allowsPower management of system components without the need for costly techniques or strategies.
Journal ArticleDOI

Optimum LoRaWAN Configuration Under Wi-SUN Interference

TL;DR: In this paper, the authors derive closed-form equations for the expected reliability of LoRa WAN in such scenarios, and propose two optimization algorithms to determine the best LoRaWAN configurations, given a targeted minimum reliability level.