Anna Maria Vegni
Roma Tre University
154 Papers
808 Citations
Anna Maria Vegni is an academic researcher from Roma Tre University. The author has contributed to research in topics: Computer science & Visible light communication. The author has an hindex of 23, co-authored 127 publications. Previous affiliations of Anna Maria Vegni include French Institute for Research in Computer Science and Automation.
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Papers
Error Probability Derivation in a Phonon-Based Quantum Channel
Valeria Loscri,Anna Maria Vegni +1 more
- 01 Dec 2018
TL;DR: This paper introduces the channel model of a phonon-based quantum system, and derives the analysis of the error probability associated to such quantum channel, and deals with a numerical evaluation in order to assess the performance of the quantum communication system.
Security Access Protocols in IoT Capillary Networks
TL;DR: The duration of the validity of the time window is assessed, and extended simulation results in terms of (average) transmission time in a realistic scenario are presented, i.e., including the presence of disturber(s), then providing indications for the setting of theduration of the key validity time window.
Performance Evaluation of Underwater Visible Light Positioning Algorithms Using Realistic Propagation Model
Ruqin Xiao,Anna Maria Vegni,Pierre Combeau,Valeria Loscrí,Lilian Aveneau +4 more
- 28 May 2023
TL;DR: This paper investigates whether these two positioning algorithms are still valid using a more realistic light propagation model based on Monte-Carlo integration to approximate the measured channel's gain that can be expected under real-world conditions.
A multi-cell lighting testbed for VLC and VLP
Thomas D. C. Little,Michael Rahaim,Iman Abdalla,E. W. Lam,Richard Mcallister,Anna Maria Vegni +5 more
- 01 Feb 2018
TL;DR: A model is developed for the system for the purpose of predicting signal strength under mobility and different receiver orientations, and how the analytical model and the measured data can be used to study RSS-based VLP and VLC handover in multi-cell systems.
A Neural Network and IoT Based Scheme for Performance Assessment in Internet of Robotic Things
Cristanel Razafimandimby,Valeria Loscri,Anna Maria Vegni +2 more
- 04 Apr 2016
TL;DR: This work will propose a IoRT-based, and a neural network control scheme to efficiently maintain the global connectivity among multiple mobile robots to a desired quality-of-service (QoS) level and will try to find a trade-off between collective coverage and communication quality.