Demo Data from VLDB 2026 / reviewers in the wild / expert
Thomas D. Papavassiliou
dblp:39/4384
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 networks
1 paper |
Network performance modeling · 62% Wireless networking · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
simulation modeling |
0.0 | 1 | 1991 | Computer-Aided Modeling of Spread Spectrum Packet Radio Networks · IEEE J. Sel. Areas Commun. 1991 |
Wireless networking › wireless mesh network
multihop wireless network |
0.0 | 1 | 1991 | Computer-Aided Modeling of Spread Spectrum Packet Radio Networks · IEEE J. Sel. Areas Commun. 1991 |
Wireless networking › packet radio network
spread-spectrum packet radio |
0.0 | 1 | 1991 | Computer-Aided Modeling of Spread Spectrum Packet Radio Networks · IEEE J. Sel. Areas Commun. 1991 |
Methods — techniques the papers use, named apart from their topics
throughput computation · 0.0numerical evaluation · 0.0connectivity models · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Computer-Aided Modeling of Spread Spectrum Packet Radio NetworksabstractA set of computer-based modeling tools to help understand the performance and behavior of spread spectrum networks is presented. These tools allow for numerical evaluation of important network performance measures and experimentation with network parameters. A connectivity model for a direct sequence spread spectrum packet radio network which allows the computation of network throughput and can be used to study routing techniques is discussed. This model places direct sequence spread spectrum networks on an equal footing with narrowband networks which have been modeled using the collision channel and transmission range concepts. The mathematical models and algorithms used to evaluate network performance are described, and several examples are presented to demonstrate the impact of various parameters.> Elvino S. Sousa, John A. Silvester, Thomas D. Papavassiliou |
IEEE J. Sel. Areas Commun. | 3 |