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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.
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Submitted on : Friday, November 25, 2016 - 2:51:11 PM
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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⟩



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