Novel One Item Network Coding Vectors
Year: 2021
Type: preprint
Abstract: This paper presents a novel approach that greatly reduces the network coding coefficients overhead to a very tiny value that does not exceed 8 bytes. Consequently, other performance metrics, e.g., download time and throughput, are improved.
Authors: Anas AbuDaqa, Ashraf Mahmoud
Institution: King Fahd University of Petroleum and Minerals
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3170080331
