• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Wang Bo, Huang Chuanhe, Yang Wenzhong, Dan Feng, and Xu Liya. An Incentive-Cooperative Forwarding Model Based on Punishment Mechanism in Wireless Ad Hoc Networks[J]. Journal of Computer Research and Development, 2011, 48(3): 398-406.
Citation: Wang Bo, Huang Chuanhe, Yang Wenzhong, Dan Feng, and Xu Liya. An Incentive-Cooperative Forwarding Model Based on Punishment Mechanism in Wireless Ad Hoc Networks[J]. Journal of Computer Research and Development, 2011, 48(3): 398-406.

An Incentive-Cooperative Forwarding Model Based on Punishment Mechanism in Wireless Ad Hoc Networks

More Information
  • Published Date: March 14, 2011
  • Due to the limited processing ability, storage and energy of mobile nodes in wireless Ad hoc networks, nodes always conserve their scare resources to show the selfish behavior. So stimulating the cooperation behaviors among nodes to actively forward packets is becoming an important research topic. According to the idea of classic game theory, this paper firstly proposes a one-step game model to analyze the payoff matrix between neighbor nodes, and extends the model to an infinite-repeated game on cooperated forwarding packets to enhance the collaboration behavior, and illustrates three punishment strategies towards behaviors of selfish nodes (one-step punishment strategy, severe punishment strategy and a general punishment strategy), and then derives the corresponding incentive cooperation forwarding conditions. Nevertheless, in this paper, we focus on the general punishment mechanism for consideration. Finally, to verify the correctness and effectiveness of the scheme and mechanism mentioned above, this paper implements this scheme and compares its performance with classic AODV protocol by using NS2, Moreover, displays the incentive-cooperative executing process of different utilities of selfish nodes during the simulation time. Simulation results show that this scheme can enhance cooperation effectively, improve throughput among the nodes, prolong the lifetime of the network and increase the expected total payoff of all nodes.
  • Related Articles

    [1]Chen Yewang, Shen Lianlian, Zhong Caiming, Wang Tian, Chen Yi, Du Jixiang. Survey on Density Peak Clustering Algorithm[J]. Journal of Computer Research and Development, 2020, 57(2): 378-394. DOI: 10.7544/issn1000-1239.2020.20190104
    [2]Wang Haiyan, Xiao Yikang. Dynamic Group Discovery Based on Density Peaks Clustering[J]. Journal of Computer Research and Development, 2018, 55(2): 391-399. DOI: 10.7544/issn1000-1239.2018.20160928
    [3]Fan Zhiqiang and Zhao Qinping. A Data-Clustering Based Robust SIFT Feature Matching Method[J]. Journal of Computer Research and Development, 2012, 49(5): 1123-1129.
    [4]Yu Canling, Wang Lizhen, and Zhang Yuanwu. An Enhancement Algorithm of Cluster Boundaries Precision Based on Grid's Density Direction[J]. Journal of Computer Research and Development, 2010, 47(5): 815-823.
    [5]Ma Haitao, Hao Zhongxiao, Zhu Yan. Checking Active XML Validation[J]. Journal of Computer Research and Development, 2008, 45(9): 1554-1560.
    [6]Chen Jianmei, Lu Hu, Song Yuqing, Song Shunlin, Xu Jing, Xie Conghua, Ni Weiwei. A Possibility Fuzzy Clustering Algorithm Based on the Uncertainty Membership[J]. Journal of Computer Research and Development, 2008, 45(9): 1486-1492.
    [7]Lü Zonglei, Wang Jiandong, Li Ying, and Zai Yunfeng. An Index of Cluster Validity Based on Modal Logic[J]. Journal of Computer Research and Development, 2008, 45(9): 1477-1485.
    [8]Jin Jun and Zhang Daoqiang. Semi-Supervised Robust On-Line Clustering Algorithm[J]. Journal of Computer Research and Development, 2008, 45(3): 496-502.
    [9]Ding Shifei, Shi Zhongzhi, Jin Fengxiang, Xia Shixiong. A Direct Clustering Algorithm Based on Generalized Information Distance[J]. Journal of Computer Research and Development, 2007, 44(4): 674-679.
    [10]Yue Shihong, Wang Zhengyou. Bisecting Grid-Based Clustering Approach and Its Validity[J]. Journal of Computer Research and Development, 2005, 42(9): 1505-1510.

Catalog

    Article views (775) PDF downloads (573) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return