Paper Info
Title
Performance Analysis of an IoT-Based Personal Vocal Assistant for Cruise Ships Over Satellite Networks
Abstract
According to data traffic forecast reported in Cisco (2018), the volume of data transported by Internet in 2021 will exceed the threshold of 3.0 ZB per year, generated by roughly 30 billions of devices. SATCOM’s capability to bring Internet connectivity in parts of the world that until few years ago was impossible to reach (e.g., in the middle of the ocean), the use of satellite platforms for M2M services has become more and more widespread, with an unprecedented increase over the last five years (see Herrero and De Gaudenzi, 2012 and Scalise <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> , 2013) and expected further diffusion in the near future. One of the most interesting applications, enabled by the Internet of Things (IoT), that has attracted significant attention in the M2M field is the personal vocal assistant (PVA). It is a software agent that can perform tasks or services for an individual based on commands or questions given through voice instructions. The main contribution of this article is a performance analysis, both theoretical and simulated, of satellite networks for PVA services over cruise ships. Namely, a PVA must provide feedback to the user in a short amount of time to guarantee a high Quality of Experience (QoE) Zhang <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> , 2013. For this analysis, we tested different satellite providers and we come to a conclusion regarding their feasibility as a reference network for the PVS employment on a cruise ship. Future studies will investigate the proposed scenario by broadening the performance analysis through actual measurements over a real-world satellite channel to practically demonstrate the validity of our approach.
Year
DOI
Venue
2022
10.1109/JIOT.2021.3116435
IEEE Internet of Things Journal
Keywords
DocType
Volume
Cruising ships,Internet of Things (IoT),M2M,personal vocal assistant (PVA),satellite network
Journal
9
Issue
ISSN
Citations 
16
2327-4662
0
PageRank 
References 
Authors
0.34
7
6
Name
Order
Citations
PageRank
Chiara Garibotto124.08
Andrea Sciarrone210016.60
Fabio Lavagetto321635.19
Luca Pronzati400.34
Alessio Baljak500.34
Gabriele Tagliabue600.34