Demo Data from EDBT 2026 / reviewers in the wild / expert
Vittoria Musa
dblp:266/4498
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-9730-6214ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Emerging computing paradigms · 67% Energy-efficient computing · 33% | |
| Computer networks
1 paper |
Cellular and mobile networks · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms › molecular communication
diffusion-based molecular communication |
0.5 | 1 | 2021 | A Feedback Control Strategy for Energy-Harvesting in Diffusion-Based Molecular Communication Systems · IEEE Trans. Commun. 2021 |
Energy-efficient computing
energy harvesting |
0.5 | 1 | 2021 | A Feedback Control Strategy for Energy-Harvesting in Diffusion-Based Molecular Communication Systems · IEEE Trans. Commun. 2021 |
Emerging computing paradigms
molecular communication |
0.5 | 1 | 2021 | A Feedback Control Strategy for Energy-Harvesting in Diffusion-Based Molecular Communication Systems · IEEE Trans. Commun. 2021 |
Cellular and mobile networks › power control
transmission power control |
0.1 | 1 | 2021 | A Feedback Control Strategy for Energy-Harvesting in Diffusion-Based Molecular Communication Systems · IEEE Trans. Commun. 2021 |
Methods — techniques the papers use, named apart from their topics
lyapunov stability analysis · 1.0feedback control theory · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | A Feedback Control Strategy for Energy-Harvesting in Diffusion-Based Molecular Communication SystemsabstractPiezoelectric nanogenerators recently emerged as a turning point in the design of energy-aware and energy harvesting transmission scheme at the nanoscale. This work considers their adoption in diffusion-based molecular communications, proposing a power control strategy based on feedback control theory. In particular, the transmission power of an electrochemical nanodevice fed by a piezoelectric nanogenerator is dynamically set proportionally to the available energy budget, by using a closed-loop control scheme. The resulting system is analytically modeled with a discrete-time nonlinear state equation. The range of acceptable values of the proportional gain is theoretically derived by studying technological constraints and global asymptotic stability. The impact of the proportional gain on both output variance and time constant of the linearized system around the equilibrium point is also investigated. Computer simulations validate the theoretical analysis under different parameter settings. The comparison against state of the art transmission scheme also demonstrates the unique ability of the conceived approach to ensure, at the equilibrium, the targeted performance level. Vittoria Musa, Giuseppe Piro, Luigi Alfredo Grieco, Gennaro Boggia |
IEEE Trans. Commun. | 1 |