Type-2 fuzzy logic control of PQoS driven adaptive VoIP scheme

被引:3
|
作者
Jammeh, E. [1 ]
Mkwawa, I. [1 ]
Sun, L. [1 ]
Ifeachor, E. [1 ]
机构
[1] Univ Plymouth, Signal Proc & Multimedia Commun SPMC Res Grp, Plymouth PL4 8AA, Devon, England
关键词
D O I
10.1049/el.2010.3050
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Adaptive VoIP schemes have potentially suboptimal performance owing to imprecision in the metrics used to infer network state. An interval Type-2 fuzzy logic controlled scheme for VoIP services is presented. It infers network state from average delivered perceived quality of service and its degradation due to network congestion and updates an AMR codec mode to match voice quality to available network bandwidth. Tests showed that the scheme maximised delivered voice quality and outperformed an existing adaptive scheme. The scheme achieves robust performance in the presence of input imprecision and can be implemented in VoIP terminals, and the fuzzy rule base is easy to understand and change by non-experts because of its similarity to the human decision-making process.
引用
收藏
页码:137 / U55
页数:2
相关论文
共 50 条
  • [1] Adaptive type-2 fuzzy logic control of a bioreactor
    Galluzzo, Mose
    Cosenza, Bartolomeo
    [J]. CHEMICAL ENGINEERING SCIENCE, 2010, 65 (14) : 4208 - 4221
  • [2] Fuzzy estimation based on type-2 fuzzy logic for adaptive Control
    Chafaa, Kheireddine
    Slimane, Noureddine
    Khireddine, Mohamed Salah
    Ghanai, Mouna
    [J]. 2014 WORLD SYMPOSIUM ON COMPUTER APPLICATIONS & RESEARCH (WSCAR), 2014,
  • [3] Adaptive Control Using Interval Type-2 Fuzzy Logic
    Zhou, Haibo
    Ying, Hao
    Duan, Ji'an
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 836 - +
  • [4] An Optimal Defuzzification Method for Interval Type-2 Fuzzy Logic Control Scheme
    Allawi, Ziyad T.
    Abdalla, Turki Y.
    [J]. 2015 SCIENCE AND INFORMATION CONFERENCE (SAI), 2015, : 619 - 627
  • [5] Tracking Control of Surface Vessels via Adaptive Type-2 Fuzzy Logic Control
    Chen, Xue Tao
    Tan, Woei Wan
    [J]. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 1538 - 1545
  • [6] Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems
    Wang, Tiechao
    Tong, Shaocheng
    Yi, Jianqiang
    Li, Hongyi
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (05) : 1803 - 1816
  • [7] Adaptive Type-2 Fuzzy Logic Control of Non-Linear Processes
    Cosenza, Bartolomeo
    Galluzzo, Mose
    [J]. ICHEAP-10: 10TH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING, PTS 1-3, 2011, 24 : 235 - 240
  • [8] Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems
    Hai-bo Zhou
    Hao Ying
    Ji-an Duan
    [J]. Journal of Central South University, 2011, 18 : 760 - 766
  • [9] Noninteracting Adaptive Control of PMSM Using Interval Type-2 Fuzzy Logic Systems
    Barkat, Said
    Tlemcani, Abdelhalim
    Nouri, Hassan
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (05) : 925 - 936
  • [10] Direct Adaptive Type-2 Fuzzy Logic Control of a Generic Hypersonic Flight Vehicle
    Yang, Fang
    Yuan, Ruyi
    Yi, Jianqiang
    Fan, Guoliang
    Tan, Xiangmin
    [J]. PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2013, : 581 - 586