一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名
郵箱
手機號碼
標題
留言內容
驗證碼

基于Stackelberg博弈的虛擬化無線傳感網絡資源分配策略

王汝言,  李宏娟,  吳大鵬

王汝言, 李宏娟, 吳大鵬. 基于Stackelberg博弈的虛擬化無線傳感網絡資源分配策略[J]. 電子與信息學報, 2019, 41(2): 377-384. doi: 10.11999/JEIT180277
引用本文: 王汝言, 李宏娟, 吳大鵬. 基于Stackelberg博弈的虛擬化無線傳感網絡資源分配策略[J]. 電子與信息學報, 2019, 41(2): 377-384. doi: 10.11999/JEIT180277
Ruyan WANG, Hongjuan LI, Dapeng WU. Stackelberg Game-based Resource Allocation Strategy in Virtualized Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2019, 41(2): 377-384. doi: 10.11999/JEIT180277
Citation: Ruyan WANG, Hongjuan LI, Dapeng WU. Stackelberg Game-based Resource Allocation Strategy in Virtualized Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2019, 41(2): 377-384. doi: 10.11999/JEIT180277

基于Stackelberg博弈的虛擬化無線傳感網絡資源分配策略

doi: 10.11999/JEIT180277 cstr: 32379.14.JEIT180277
  • 1.

    重慶郵電大學通信與信息工程學院 ??重慶 ??400065

  • 2.

    重慶高校市級光通信與網絡重點實驗室 ??重慶 ??400065

基金項目: 國家自然科學基金(61771082)，重慶市高校創(chuàng)新團隊建設計劃資助項目(CXTDX201601020)
詳細信息
    作者簡介:

    王汝言：男，1969年生，教授，博士，研究方向為泛在網絡、多媒體信息處理等

    李宏娟：女，1993年生，碩士生，研究方向為虛擬化、無線傳感網絡

    吳大鵬：男，1979年生，教授，博士，研究方向為泛在無線網絡、無線網絡服務質量控制等

    通訊作者:

    李宏娟　ilihj@foxmail.com

  • 中圖分類號: TP393

Stackelberg Game-based Resource Allocation Strategy in Virtualized Wireless Sensor Network

  • 1.

    School of Telecommunication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

  • 2.

    Optical Communication and Network Key Laboratory of Chongqing, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61771082), The Chongqing Funded Project of Chongqing University Innovation Team Construction Plan (CXTDX201601020)
  • 摘要:

    虛擬化技術可有效緩解當前無線傳感網絡(WSN)中資源利用率較低、服務不靈活的問題。針對虛擬化WSN中的資源競爭問題，該文提出一種基于Stackelberg博弈的多任務資源分配策略。依據(jù)所承載業(yè)務的不同服務質量(QoS)需求，量化多個虛擬傳感網絡請求(VSNRs)的重要程度，進而，利用分布式迭代方法，獲取WSN的最優(yōu)價格策略和VSNRs的最優(yōu)資源需求量，最后，根據(jù)納什均衡所確定的最優(yōu)價格、最優(yōu)資源分配量，對多個VSNRs分配資源。仿真結果表明，所提策略不僅能滿足用戶的多樣化需求，而且提升了節(jié)點和鏈路資源利用率。

    Abstract:

    Virtualization is a new technology that can effectively solve the low resource utilization and service inflexibility problem in the current Wireless Sensor Network (WSN). For the resource competition problem in virtualized WSN, a multi-task resource allocation strategy based on Stackelberg game is proposed. According to the different Quality of Service (QoS) requirements of the business carried by Virtual Sensor Network Request (VSNR), the importance of multiple VSNRs is quantified. Then, the optimal price of WSN and the optimal resource requirements of VSNRs are obtained by using distributed iteration method. Finally, the resource corresponding to multiple VSNRs is acquired according to optimal price and optimal resource allocation determined by Nash equilibrium. The simulation results show that the proposed strategy can not only meet the diversified needs of users, but also improve the resource utilization of nodes and links.

    • HTML全文

  • 圖  1  虛擬化無線傳感網絡示意圖

    圖  2  虛擬化前后節(jié)點緩存資源利用率

    圖  3  虛擬化前后鏈路帶寬資源利用率

    圖  4  不同a值時VSNSP效用函數(shù)在迭代過程中的變化

    圖  5  WSNInP與VSNSPs間的納什均衡

    圖  6  不同任務數(shù)產生的收益

    圖  7  不同任務數(shù)的帶寬利用率

    表  1  仿真參數(shù)設置

    參數(shù)設定參考數(shù)值
    仿真區(qū)域(m2)50×50
    節(jié)點數(shù)量(個)55
    節(jié)點處理速度(bit/s)16～32
    節(jié)點存儲能力(kb)4～15
    節(jié)點能量(J)2～4
    鏈路帶寬(kb/s)5～30
    用戶體驗常量1或2
    VSNR資源需求策略調節(jié)步長0.1
    WSN價格策略調節(jié)步長0.1
    最大迭代次數(shù)/次200
    下載: 導出CSV
  • EZDIANI S, ACHARYYA I S, SIVAKUMAR S, et al. Wireless sensor network softwarization: Towards WSN adaptive QoS[J]. IEEE Internet of Things Journal, 2017, 4(5): 1517–1527. doi: 10.1109/JIOT.2017.2740423
    LIAO Yizheng, MOLLINEAUX M, HSU R, et al. SnowFort: An open source wireless sensor network for data analytics in infrastructure and environmental monitoring[J]. IEEE Sensors Journal, 2014, 14(12): 4253–4263. doi: 10.1109/JSEN.2014.2358253
    HU Xiaoya, YANG Liuqing, and XIONG Wei. A novel wireless sensor network frame for urban transportation[J]. IEEE Internet of Things Journal, 2015, 2(6): 586–595. doi: 10.1109/JIOT.2015.2475639
    ALAIAD A and ZHOU Lina. Patients’ adoption of WSN-Based smart home healthcare systems: an integrated model of facilitators and barriers[J]. IEEE Transactions on Professional Communication, 2017, 60(1): 4–23. doi: 10.1109/TPC.2016.2632822
    PARK P, MARCO P D, and JOHANSSON K H. Cross-layer optimization for industrial control applications using wireless sensor and actuator mesh networks[J]. IEEE Transactions on Industrial Electronics, 2017, 64(4): 3250–3259. doi: 10.1109/TIE.2016.2631530
    KHAN I, BELQASMI F, GLITHO R, et al. Wireless sensor network virtualization: Early architecture research perspectives[J]. IEEE Network, 2015, 29(3): 104–112. doi: 10.1109/MNET.2015.7113233
    KHAN I, BELQASMI F, GLITHO R, et al. Wireless sensor network virtualization: A survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(1): 553–576. doi: 10.1109/COMST.2015.2412971
    GUO Lei, NING Zhaolong, SONG Qingyang, et al. A QoS-oriented high-efficiency resource allocation scheme in wireless multimedia sensor networks[J]. IEEE Sensors Journal, 2017, 17(5): 1538–1548. doi: 10.1109/JSEN.2016.2645709
    DELGADO C, BOUSNINA S, CESANA M, et al. On optimal resource allocation in virtual sensor networks[J]. Ad Hoc Networks, 2016, 50(C): 23–40. doi: 10.1016/j.adhoc.2016.04.004
    DELGADO C, CANALES M, ORTIN J, et al. Joint application admission control and network slicing in virtual sensor networks[J]. IEEE Internet of Things Journal, 2017, 5(1): 28–43. doi: 10.1109/JIOT.2017.2769446
    OBELE B O, IFTIKHAR M, MANIPORNSUT S, et al. Analysis of the behavior of self-similar traffic in a QoS-aware architecture for integrating WiMAX and GEPON[J]. Journal of Optical Communication and Network, 2009, 1(4): 259–273. doi: 10.1364/JOCN.1.000259
    MILAN G, JUAN E S, and JAMETT M. A simple estimator of the Hurst exponent for self-similar traffic flows[J]. IEEE Latin America Transactions, 2015, 12(8): 1349–1354. doi: 10.1109/TLA.2014.7014500
    TRAN T D and LE L B. Stackelberg game approach for wireless virtualization design in wireless networks[C]. 2017 IEEE International Conference on Communications (ICC), Paris, France, 2017: 1–6.
    WANG Cong, WANG Cuirong, and YUAN Ying. Game based dynamical bandwidth allocation model for virtual networks[C]. 2009 First International Conference on Information Science and Engineering, Nanjing, China, 2009: 1745–1747.
    LUONG N C, HOANG D T, WANG Ping, et al. Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(4): 2546–2590. doi: 10.1109/COMST.2016.2582841
    AL-ZAHRANI A Y and YU F R. An energy-efficient resource allocation and interference management scheme in green heterogeneous networks using game theory[J]. IEEE Transactions on Vehicular Technology, 2016, 65(7): 5384–5396. doi: 10.1109/TVT.2015.2464322
    XU Qichao, SU Zhou, and GUO Song. A game theoretical incentive scheme for relay selection services in mobile social networks[J]. IEEE Transactions on Vehicular Technology, 2016, 65(8): 6692–6702. doi: 10.1109/TVT.2015.2472289
    GHOSH A, COTTATELLUCCI L, and ALTMAN E. Normalized Nash equilibrium for power allocation in cognitive radio Networks[J]. IEEE Transactions on Cognitive Communications and Networking, 2015, 1(1): 86–99. doi: 10.1109/TCCN.2015.2496578
    RAO M S S and SOMAN S A. Marginal pricing of transmission services using min-max fairness policy[J]. IEEE Transactions on Power Systems, 2015, 30(2): 573–584. doi: 10.1109/TPWRS.2014.2331424
    ZHANG Yueyue, ZHU Yaping, YAN Feng, et al. Energy-efficient radio resource allocation in software-defined wireless sensor networks[J]. IET Communications, 2018, 12(3): 349–358. doi: 10.1049/iet-com.2017.0937
  • 加載中
圖(7) / 表(1)
計量
  • 文章訪問數(shù):  1798
  • HTML全文瀏覽量:  1141
  • PDF下載量:  133
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2018-03-23
  • 修回日期:  2018-07-25
  • 網絡出版日期:  2018-08-06
  • 刊出日期:  2019-02-01

目錄

    /

    返回文章
    返回