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Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Article type: Research Article
Authors: Xu, Zhia | Ding, Hongweia; * | Liu, Qianlinb | Yang, Zhijuna | Bao, Liyonga | Zhan, Ganga
Affiliations: [a] School of Information, Yunnan University, Kunming, China | [b] Yunnan Military Command Region, Kunming, Yunnan, China
Correspondence: [*] Corresponding author. Hongwei Ding, School of Information, Yunnan University, Kunming 650504, China. E-mail: [email protected].
Abstract: In order to solve the contradiction between wireless network application requirements and increasingly scarce spectrum resources, cognitive wireless network technology emerged. Based on the characteristics of wireless network nodes and combining multiple hybrid control strategies, this paper proposes a multi-priority dual-clock probability detection CSMA(MPDCPD-CSMA) protocol with a monitoring mechanism. The field-programmable gate array (FPGA) hardware circuit is used as an experimental research platform for the first time. Cognitive wireless network MAC protocol design and implementation. The design took full advantage of the flexibility of the FPGA, using a hardware description language Verilog HDL and schematic input combined with the QuartusII9.0 circuit design. By comparing the statistical values of the circuit system with the theoretical values, it is verified that the design has the characteristics of good real-time performance, high reliability, and strong portability. It can effectively reduce system node energy consumption, improve system throughput, and can be applied to wireless networks.
Keywords: cognitive wireless network, hybrid control strategy, field programmable gate array, schematic input, throughput
DOI: 10.3233/JIFS-169678
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1353-1361, 2018
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