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Marco Zennaro

Researcher at International Centre for Theoretical Physics

Publications -  173
Citations -  2810

Marco Zennaro is an academic researcher from International Centre for Theoretical Physics. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 24, co-authored 161 publications receiving 2252 citations. Previous affiliations of Marco Zennaro include Royal Institute of Technology & University of California, Berkeley.

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Proceedings ArticleDOI

TLTN – The local things network: on the design of a LoRaWAN gateway with autonomous servers for disconnected communities

TL;DR: This paper presents a solution that allows connecting local IoT end-nodes to a LoRaWAN gateway without the need of internet access, at low cost and with low power consumption.
Proceedings ArticleDOI

An assessment study on white spaces in Malawi using affordable tools

TL;DR: The conclusion of the study is that 1) it is possible to assess the spectrum usage using low cost equipment 2) ample spectrum for TV White Spaces deployment is available in Malawi.
Journal ArticleDOI

LoRa Transceiver With Improved Characteristics

TL;DR: The design and implementation of a novel high-sensitivity low-cost miniaturized LoRa transceiver with enhanced characteristics which operates in two industrial, scientific, and medical (ISM) bands of 868 MHz and 434 MHz is presented.
Journal ArticleDOI

Alternative Networks: Toward Global Access to the Internet for All

TL;DR: A global classification and a summary of the main characteristics of different Alternative Network deployments that have arisen in recent years with an aim to provide Internet services in places where mainstream network deployments do not exist or are not adequate solutions are presented.
Journal ArticleDOI

A Novel Enhanced Quantum PSO for Optimal Network Configuration in Heterogeneous Industrial IoT

TL;DR: In this article, a novel enhanced quantum particle swarm optimization algorithm for IIoT deployments is proposed, which provides enhanced connectivity, reduced energy consumption, and optimized delay by exploring and exploiting the hunts.