Fuzzy Logic-Based Adaptive Communication Management on Wireless Network

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• 作者：Taeyoung Kim (21)
  Youngshin Han (22)
  Jaekwon Kim (21)
  Jongsik Lee (21)
  
• 关键词：Fuzzy Logic ; Rule ; based Inference ; Adaptive Queue Management ; Wireless Network
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8733
• 期：1
• 页码：40-48
• 全文大小：6,340 KB
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• 作者单位：Taeyoung Kim (21)
  Youngshin Han (22)
  Jaekwon Kim (21)
  Jongsik Lee (21)
  
  21. Dept. of Computer and Information Engineering, Inha University, Inchon, Republic of Korea
  22. Dept. of Computer Engineering, Sungkyul University, Anyang, Republic of Korea
  
• ISSN：1611-3349

文摘

This paper presents a fuzzy logic-based adaptive communication management on a wireless network. A combination of both wireless network and handheld device is most widely used in the world today. The wireless network depends on the radio signal to communicate with the device. And the handheld device is the mobile node, which is difficult to determine the certain location. These unstable features have a negative influence on the communication QoS (quality of service). Therefore, we adopt the fuzzy logic to improve the communication efficiency. The access point (AP) may evaluate the communication state with the fuzzy logic. Through this, the relay station utilizes the evaluation result to handle the communication throughput. The simulation demonstrates the efficiency of our proposed model.