A DUOPOLY PRICING MODEL FOR WIRELESS MESH NETWORKS UNDER CONGESTION-SENSITIVE USERS

被引:0
|
作者
Zhu, H. [1 ]
Nel, A. [1 ]
Clarke, W. [1 ]
机构
[1] Univ Johannesburg, Dept Elect & Elect Engn Sci, POB 524, ZA-2006 Auckland Pk, South Africa
来源
SAIEE AFRICA RESEARCH JOURNAL | 2009年 / 100卷 / 02期
关键词
pricing; game theory; queue theory;
D O I
10.23919/SAIEE.2009.8531495
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
The development of Wireless Local Area Network (WLAN) technologies offers a novel platform for IP-limed service resale via Wirier Mesh Networks (WMNet) that provide high network COW nue cal lower infrastructure cost. In this IP-based service resale business. the Access Point (AP) provider set their pricing policies an IP-based service renellern to maximize their profit. while the rwaste-users (end users of the WMNS) who are price- and quality-of-servive (QOS)- sensitive, respond to AP provider& pricing policies by controlling their onsets. In thin paper we study a two AP providers' price competition In a WMN. The two AP provider offer IP-based service fax possibly different preen and Onta in to of mean packet delay. The restaleywiers' cltoice between the APs in bawd on their conspennutcd utility. We consider a two stage game among the two AP provident and their mode-awns In stage I. the AP providers set their prices to maximise their polar respectively. In stage 3. given the prices and Qos offered by both AP provider, the nimbi-users decide which AP to nook service from or opt out of both APn. Then the game returns to stage I, in which both AP providern adjusts their optimal prices based on the decisions of the resale-users to seek equilibrium among themselves and their resale-users. With this game theoretical approach. we develop an analytical framework to and the Nash equilibrium points from which two AF's and resale-user would not move from
引用
收藏
页码:48 / 58
页数:11
相关论文
共 22 条
  • [1] A duopoly model with heterogeneous congestion-sensitive customers
    Mandjes, Michel
    Timmer, Judith
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 176 (01) : 445 - 467
  • [2] User Remuneration Under Congestion: A Dynamic and Fair Pricing Strategy for Wireless Networks
    Ramneek
    Hosein, Patrick
    Pack, Sangheon
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (07) : 7294 - 7299
  • [3] On the access pricing and network scaling issues of wireless mesh networks
    Lam, Ray K.
    Chiu, Dah-Ming
    Lui, John C. S.
    IEEE TRANSACTIONS ON COMPUTERS, 2007, 56 (11) : 1456 - 1469
  • [4] Competitive spectrum sharing and pricing in cognitive wireless mesh networks
    Niyato, Dusit
    Hossain, Ekram
    Le, Long
    WCNC 2008: IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-7, 2008, : 1431 - +
  • [5] Congestion-Based Pricing Resource Management in Broadband Wireless Networks
    AbuAli, Najah
    Hayajneh, Mohammad
    Hassanein, Hossam
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2010, 9 (08) : 2600 - 2610
  • [6] Optimal Number of Users in Wireless Networks: A Flat Rate Pricing
    Raiss-el-Fenni, Mohammed
    El-Azouzi, Rachid
    Garnaev, Andrey
    Bouyakhf, El Houssine
    2012 8TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2012, : 950 - 955
  • [7] Power control of voice users using pricing in wireless networks
    Zhang, PF
    Jordan, S
    Liu, PJ
    Honig, ML
    MODELING AND DESIGN OF WIRELESS NETWORKS, 2001, 4531 : 155 - 165
  • [8] Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model
    Liu, Xin
    Wang, Jin-long
    Wu, Qihui
    Yang, Yang
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2011, E94B (10) : 2857 - 2867
  • [9] Joint Frequency and Power Allocation in Wireless Mesh Networks: A Self-Pricing Game Model
    Liu, Xin
    Cheng, Jianli
    Wu, Qihui
    Yang, Yang
    HIGH PERFORMANCE NETWORKING, COMPUTING, AND COMMUNICATION SYSTEMS, 2011, 163 : 407 - +
  • [10] A duopoly game model for pricing and green technology selection under cap-and-trade scheme
    Pan, Yanchun
    Hussain, Jafar
    Liang, Xingying
    Ma, Jianhua
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 153