Sequential Sensing and Transmission for Real-Time Traffic in Cognitive Networks - Network and Parallel Computing Access content directly
Conference Papers Year : 2014

Sequential Sensing and Transmission for Real-Time Traffic in Cognitive Networks

Abstract

This paper proposes a sequential sensing and transmission algorithm for real-time data in time-slotted multi-band cognitive networks. The proposed algorithm includes the backlog in a queue and the delay constraint of real-time data to select an appropriate band to send data such that more real-time data can be transmitted before being dropped. Simulation results show that the proposed algorithm reduces frames loss ratio and increases effective real-time throughput.
Fichier principal
Vignette du fichier
978-3-662-44917-2_62_Chapter.pdf (72.87 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01403161 , version 1 (25-11-2016)

Licence

Attribution

Identifiers

Cite

Show-Shiow Tzeng, Ying-Jen Lin. Sequential Sensing and Transmission for Real-Time Traffic in Cognitive Networks. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. pp.600-603, ⟨10.1007/978-3-662-44917-2_62⟩. ⟨hal-01403161⟩
39 View
68 Download

Altmetric

Share

Gmail Facebook X LinkedIn More