Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Thomas D. Papavassiliou

dblp:39/4384 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Network performance modeling
simulation modeling
0.011991
Computer-Aided Modeling of Spread Spectrum Packet Radio Networks · IEEE J. Sel. Areas Commun. 1991
Wireless networking › wireless mesh network
multihop wireless network
0.011991
Computer-Aided Modeling of Spread Spectrum Packet Radio Networks · IEEE J. Sel. Areas Commun. 1991
Wireless networking › packet radio network
spread-spectrum packet radio
0.011991
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
YearPublicationVenuePosition
1991 Computer-Aided Modeling of Spread Spectrum Packet Radio Networks
abstract
A 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