ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.128
Energy-Efficient Sensing and Transmission for Real-Time Traffic in Cognitive Radio Networks
Abstract— Cognitive radio networks significantly increase the utilization of radio spectrum. Most previous
literatures related cognitive networks attempt to increase the throughput in cognitive networks. However,
energy efficiency is a major consideration for battery-powered devices or green wireless networks. It is
critical for cognitive users to opportunistically use idle spectrum to send real-time data such that energy
reduction and quality-of-service provision of real-time data transmission are available at the same time. In
this paper, we propose cross-layer sensing and transmission with energy efficiency schemes for real-time
traffic in cognitive radio networks. In the proposed schemes, we use the information of packets in a queue to
save energy. Extensive simulation results show that the proposed schemes appropriately use the queueing
information to reduce energy consumption while provide different levels of quality-of-service of real-time
packets (in terms of packet loss ratio).
Index Terms— cognitive networks, real-time traffic, sensing and transmission, energy efficiency.
Department of Mathematics, University of National Kaohsiung Normal University, TAIWAN
Show-Shiow Tzeng, Yi-Lun Huang
Department of Optoelectronics and Communication Engineering, University of National Kaohsiung Normal University, TAIWAN
Cite: Ying-Jen Lin, Show-Shiow Tzeng, Yi-Lun Huang, "Energy-Efficient Sensing and Transmission for Real-Time Traffic in Cognitive Radio Networks," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 719-723, Tokyo, 17-19 June, 2016.