基于潜在博弈的多源多跳无线传感器网络流量分配算法

doi:10.11959/j.issn.1000-0801.2015032

Abstract

Abstract:

Data integration and network optimization play an important role in wireless sensor network which is data-centric. Network coding has been used as an efficient method to improve network throughput over wireless environments. The problem of broadcasting K different contents to D destinations from N sources in wireless network was considered. A dynamic control scheme that allows sources split traffic was proposed. The scheme adjusts the traffic based on the utility function to increase the number of coding opportunities. The theoretical analysis and simulation results show that the proposed scheme is stable and effective.

Key words: wireless sensor network, network coding, potential game, data integration

Wei Zhang,Linghua Zhang. Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network[J]. Telecommunications Science, 2015, 31(2): 75-79.

Figures/Tables 3

References 10

1	Ahswede R , Cai N , Li S , et al. Network information flow. IEEE Transactions on Information Theory, 2000,46(4): 1204～1216
2	Marden J , Effros M . The price of selfishness in network coding. IEEE Transactions on Information Theory, 2012,58(4): 2349～2361
3	Li W , Zhou B . Game theory analysis for graded punishment mechanism restraining free-riding in P2P networks. Proceedings of International Symposium on Computer Science and Society, Kota Kinabalu,Malaysia, 2011:262～266
4	Zhao F , Medard M . On analyzing and improving COPE performance. Proceedings of Information Theory and Applications Workshop, San Diego,CA,USA, 2010:1～6
5	Reddy V , Shakkottai S , Sprintsom A , et al. Multipath wireless network coding: a population game perspective. Proceedings of IEEE INFOCOM, San Diego,CA,USA, 2010:1～9
6	Ciftcioglu E , Sagduyu Y E , Berry R , et al. Cost-delay tradeoffs for two-way telay networks. IEEE Transactions on Wireless Communications, 2011,10(12): 4100～4109
7	Aperjis C , Johari R , Freedman M J . Bilateral and multilateral exchanges for peer-assisted content distribution. IEEE/ACM Transactions on Networking, 2011,19(5): 1290～1303
8	Han Z , Niyato D , Saad W , et al. Game Theory in Wireless and Communication Networks. Oxford:Cambridge University Press 2012
9	Neely M J , Golubchik L . Utility optimization for dynamic peer-to-peer networks with tit-for-tat constraints. Proceedings of IEEE INFOCOM, Shanghai,China, 2011:1458～1466
10	Zhao J , Zhang P , Cao G . On cooperative caching in wireless P2P networks. Proceedings of the 28th International Conference on Distributed Computing Systems, Beijing,China 2008:731～739

Metrics

Recommended 0

No Suggested Reading articles found!

[1]	Shiheng WANG, Heng LIU, Lin TANG, Jinling SU, Ruiqi ZHANG. Analysis for rank distribution of BATS codes under time-variant channels [J]. Telecommunications Science, 2022, 38(5): 64-74.
[2]	Yue QIAO, Yusun FU, Muyun YUAN, Jinhui TANG. Research and development of degree distribution in the rateless code [J]. Telecommunications Science, 2022, 38(10): 1-19.
[3]	Cheng DING, Jinrong CHEN, Xiaodong CAO, Yi WANG. Quality of service based hierarchical resource allocation algorithm [J]. Telecommunications Science, 2022, 38(1): 102-111.
[4]	Yongyan LI,Jianping WU. Wireless sensor node localization based on IPSO-MC [J]. Telecommunications Science, 2020, 36(3): 11-18.
[5]	Haoran LIU,Xingqi WANG,Yujing DENG,Yuhua QIN. Evaluation model of node importance in directed scale-free network based on cascade failure [J]. Telecommunications Science, 2020, 36(2): 43-51.
[6]	Ruifeng CHEN,Ming NI,Chunjie XU,Hao HU. Communication performance analysis of wireless sensor network for railway environmental monitoring [J]. Telecommunications Science, 2019, 35(5): 70-77.
[7]	Ying ZHOU,Lihua YANG,Longxiang YANG,Meng NI. Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing [J]. Telecommunications Science, 2019, 35(1): 74-80.
[8]	Shigen SHEN,Sheng FENG,Haiping ZHOU,Longjun HUANG,Keli HU,Qiying CAO. Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game [J]. Telecommunications Science, 2018, 34(9): 78-86.
[9]	Haibo YANG,Yourong CHEN,Banteng LIU,Yunkai ZHU,Ziyi SU. Coverage scheduling algorithm of mobile sensor nodes for optimizing network lifetime [J]. Telecommunications Science, 2018, 34(5): 39-49.
[10]	Shihua CAO,Keyong HU,Lidong WANG,Qihui WANG. Distributed hue recognition based k connectivity path detection in WSN [J]. Telecommunications Science, 2018, 34(2): 65-73.
[11]	Lijun LI,Fuquan ZHANG,Hongfei LIU. Data transmission algorithm for mobile wireless sensor network based on power loss equalization control mechanism [J]. Telecommunications Science, 2018, 34(11): 1-9.
[12]	Kai ZHOU. Nodes deployment strategy for underwater wireless sensors networks based on grids [J]. Telecommunications Science, 2018, 34(11): 48-58.
[13]	Haiping ZHOU,Shigen SHEN,Longjun HUANG,Sheng FENG. Game theory-based malware propagation model for wireless sensor network [J]. Telecommunications Science, 2018, 34(11): 67-76.
[14]	Xu ZHANG,Yang LIU,Lei HU,Xiaodong ZHAO,Haibin ZHANG. Application and research of marketing using automatic similar users extension technology in telecom industry [J]. Telecommunications Science, 2018, 34(1): 166-173.
[15]	Deyue MENG,Errong PEI,Youlin HUANG. Design of MAC protocol and performance analysis for heterogeneous nodes separating CRSN [J]. Telecommunications Science, 2017, 33(8): 107-119.

Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 3

References 10

Related Articles 15

Metrics

Recommended 0