Fuzzy logic based congestion estimation for QoS in wireless sensor network

被引:0
|
作者
Munir, Saad A. [1 ]
Bin, Yu Wen [1 ]
Biao, Ren [2 ]
Jian, Ma [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching, Beijing 100088, Peoples R China
[2] Nokia Res Ctr, Beijing, Peoples R China
关键词
D O I
暂无
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
In this paper, we present a model for fuzzy logic based congestion estimation within a proposed QoS architecture. The architecture comprises of a QoS Management and Control module which is implemented both at node level and at the sink Or a system level QoS administration. The QoS module implemented at sensor node forms a subset of the larger QoS Management and Control module implemented for the system wide infirmation, so as not to encumber the resource constrained wireless sensor network While much research has been conducted in wireless sensor network, little attention has been given to a holistic QoS approach for WSN. Energy efficiency has been the main QoS metric in research efforts. In this paper, we present a congestion estimation model for QoS in wireless sensor network, and implement it using fuzzy logic with fuzzy set variables. Simulations are conducted for our scheme which shows that with increased network dynamics and with increased packets generation rate, our implementation efficiently sorts out the traffic and minimizes the packet loss for prioritized event-driven traffic.
引用
收藏
页码:4339 / +
页数:2
相关论文
共 50 条
  • [1] A Fuzzy Logic based QoS Evaluation Model for Wireless Sensor Network
    Deng Qiang
    Xie Dong-liang
    Chen Shan-zhi
    2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, 2009, : 3394 - +
  • [2] Wireless Multimedia Sensor Network QoS Bottleneck Alert Mechanism Based on Fuzzy Logic
    Shankar, Achyut
    Sumathi, K.
    Pandiaraja, P.
    Stephan, Thompson
    Cheng, Xiaochun
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2022, 31 (11)
  • [3] A QoS adaptive congestion control in wireless sensor network
    Rahman, Md. Obaidur
    Monowar, Muhammad Mostafa
    Hong, Choong Seon
    10TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY, VOLS I-III: INNOVATIONS TOWARD FUTURE NETWORKS AND SERVICES, 2008, : 941 - 946
  • [4] Parametric Performance Estimation of Wireless Sensor Network Using Fuzzy Logic
    Mondal, Himadri Shekhar
    Bhattacharjee, Prianka
    Hassan, Md Mahmud
    Hossain, Md. Bellal
    Muntaseer, Ahmed Saif
    Raihan, M.
    2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2019,
  • [5] Prediction Scheme Using Fuzzy Logic System to Control the Congestion in Wireless Sensor Network
    Faisal, Zainab G.
    Hussein, Maysam Sameer
    Abood, Amany Mohammad
    DISTRIBUTED COMPUTING AND OPTIMIZATION TECHNIQUES, ICDCOT 2021, 2022, 903 : 737 - 747
  • [6] Fuzzy based trust estimation for congestion control in wireless sensor networks
    Zarei, Mani
    Rahmani, Amir Masoud
    Sasan, Avesta
    Teshnehlab, Mohammad
    2009 INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS 2009), 2009, : 233 - +
  • [7] Fuzzy logic control based QoS management in wireless sensor/actuator networks
    Xia, Feng
    Zhao, Wenhong
    Sun, Youxian
    Tian, Yu-Chu
    SENSORS, 2007, 7 (12) : 3179 - 3191
  • [8] Fuzzy Logic-Based Control in Wireless Sensor Network for Cultivation
    Sittakul, V.
    Chunwiphat, S.
    Tiawongsombat, P.
    PROCEEDINGS OF 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND APPLICATIONS, 2017, 467 : 265 - 279
  • [9] Fuzzy Logic Based Faulty Node Detection in Wireless Sensor Network
    Jadav, Pooja
    Babu, Vinoth K.
    2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2017, : 390 - 394
  • [10] Energy Efficient Fuzzy Logic Based Intelligent Wireless Sensor Network
    Tripathy, Malay Ranjan
    Gaur, Kunal
    Sharma, Sonam
    Virdi, G. S.
    PIERS 2010 CAMBRIDGE: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, 2010, : 91 - +