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无线多跳网络快速跨层资源优化分配算法

冯维 徐永鑫 刘浩 许晓荣 姚英彪

冯维, 徐永鑫, 刘浩, 许晓荣, 姚英彪. 无线多跳网络快速跨层资源优化分配算法[J]. 电子与信息学报, 2019, 41(5): 1217-1224. doi: 10.11999/JEIT180581
引用本文: 冯维, 徐永鑫, 刘浩, 许晓荣, 姚英彪. 无线多跳网络快速跨层资源优化分配算法[J]. 电子与信息学报, 2019, 41(5): 1217-1224. doi: 10.11999/JEIT180581
Wei FENG, Yongxin XU, Hao LIU, Xiaorong XU, Yingbiao YAO. A Fast Convergent Cross-layer Resource Optimization Allocation Algorithm in Wireless Multi-hop Networks[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1217-1224. doi: 10.11999/JEIT180581
Citation: Wei FENG, Yongxin XU, Hao LIU, Xiaorong XU, Yingbiao YAO. A Fast Convergent Cross-layer Resource Optimization Allocation Algorithm in Wireless Multi-hop Networks[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1217-1224. doi: 10.11999/JEIT180581

无线多跳网络快速跨层资源优化分配算法

doi: 10.11999/JEIT180581
基金项目: 国家自然科学基金(61671192),浙江省公益计划(LGG19F020014),中国博士后基金(2017M621796),浙江省自然科学基金(LY19F010011),中国移动科研基金(MCM20-2017-0107),浙江省教育厅一般科研项目(Y201533647)
详细信息
    作者简介:

    冯维:女,1984年生,讲师,博士,研究方向为无线多跳网络资源分配算法

    徐永鑫:男,1997年生,本科生,研究方向为无线传感器网络等资源分配

    刘浩:男,1996年生,硕士生,研究方向为无线多跳网络优化问题

    许晓荣:男,1982年生,副教授,博士,研究方向为认知无线网络、压缩感知、无线传感器网络

    姚英彪:男,1976年生,教授,博士,研究方向为无线传感器网络

    通讯作者:

    姚英彪 yaoyb@hdu.edu.cn

  • 中图分类号: TP393

A Fast Convergent Cross-layer Resource Optimization Allocation Algorithm in Wireless Multi-hop Networks

Funds: The National Natural Sicence Foundation of China (61671192), The Public Welfare Plan Project of Zhejiang Province (LGG19F020014), The Postdoctoral Science Foundation of China (2017M621796), The Natural Sicence Foundation of Zhejiang Province (LY19F010011), The Mobile Science Foundation of China (MCM20-2017-0107), The General Science Foundation of Zhejiang Educational Committee (Y201533647)
  • 摘要: 针对背压路由算法容易造成大量队列积压和收敛速度慢的缺陷,该文研究了无线多跳网络中节点功率受限情况下的联合拥塞控制、路由和功率分配的跨层优化问题。以最大化网络效用为目标,以流平衡条件、功率等为约束条件建模,基于牛顿法提出了一种具有超线性收敛性能的算法,并运用矩阵分裂技术使该算法能够分布式实施。仿真结果表明,该算法在实现网络效用最大化的同时,能够有效提高网络中的能量效用,且能将网络中的队列长度稳定在一个较低水平,降低包传输延时。
  • 图  1  网络拓扑

    图  2  网络效用

    图  3  能量效用图

    图  4  网络平均队列长度

  • 冯维, 冯穗力, 丁跃华, 等. 无线多跳网络下基于过时信道状态信息的跨层资源分配[J]. 电子与信息学报, 2014, 36(11): 2750–2755. doi: 10.3724/SP.J.1146.2013.00546

    FENG Wei, FENG Suili, DING Yuehua, et al. Cross-layer resource allocation with outdated channel state Information in wireless multi-hop networks[J]. Journal of Electronics &Information Technology, 2014, 36(11): 2750–2755. doi: 10.3724/SP.J.1146.2013.00546
    ERYILMAZ A and SRIKANT R. Joint congestion control, routing, and MAC for stability and fairness in wireless networks[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(8): 1514–1524. doi: 10.1109/jsac.2006.879361
    石雷, 韩江洪, 石怡, 等. 无线多跳网络下基于干扰管理的高容量跨层优化策略[J]. 通信学报, 2014, 35(12): 89–97. doi: 10.3969/j.issn.1000-436x.2014.12.011

    SHI Lei, HAN Jiang hong, SHI Yi, et al. High capacity cross layer optimization strategy for multi-hop wireless network with interference management[J]. Journal on Communications, 2014, 35(12): 89–97. doi: 10.3969/j.issn.1000-436x.2014.12.011
    ALHOSAINY A and KUNZ T. Joint Optimal Congestion, Multipath Routing, and Contention Control for Wireless Ad-hoc Networks[J]. EEE Communications Letters, 2017, PP(99): 1–1. doi: 10.1109/lcomm.2017.2739139
    MALEKSHAN K R, ZHUANG W. Joint Scheduling and Transmission Power Control in Wireless Ad Hoc Networks[J]. IEEE Transactions on Wireless Communications, 2017, PP(99): 1–1. doi: 10.1109/wcsp.2009.5371646
    WEI E, OZDAGLAR A, and JADBABAIE A. A distributed newton method for network utility maximization[C]. 49th IEEE Conference on Decision and Control, Atlanta, USA, 2010: 1816–1821.
    LIU Jia and SHERALI H D. A distributed Newton’s method for joint multi-hop routing and flow control: Theory and algorithm[C]. 2012 Proceedings IEEE INFOCOM, Orlando, USA, 2012: 2489–2497.
    LIU Jia, SHROFF N B, XIA C, et al. Joint congestion control and routing optimization: an efficient second-order distributed approach[J]. IEEE/ACM Transactions on Networking, 2016, 24(3): 1404–1420. doi: 10.1109/TNET.2015.2415734
    YU Hao and NEELY M J. A new backpressure algorithm for joint rate control and routing with vanishing utility optimality gaps and finite queue lengths[C]. IEEE INFOCOM 2017-IEEE Conference on Computer Communications, Orlando, USA, 2017: 1–9.
    HAI L, GAO Q, WANG J, et al. Delay-optimal back-pressure routing algorithm for multi-hop wireless networks[J]. IEEE Transactions on Vehicular Technology, 2017, PP(99): 1–1. doi: 10.1109/TVT.2017.2770183
    JU H, LIANG B, LI J, et al. Dynamic power allocation for throughput utility maximization in interference-limited networks[J]. IEEE Wireless Communications Letters, 2013, 2(1): 22–25. doi: 10.1109/wcl.2012.100912.120512
    NEELY M J. Super-fast delay tradeoffs for utility optimal fair scheduling in wireless networks[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(8): 1489–1501. doi: 10.1109/jsac.2006.879357
    HIRIART-URRUTY J B and LEMARÉCHAL C. Convex analysis and minimization algorithms[J]. Grundlehren Der Mathematischen Wissenschaften, 1993, 1185(1): 150–159. doi: 10.1007/978-3-662-06409-2_2
    WOŹNICKI Z I. Matrix splitting principles[J]. International Journal of Mathematics and Mathematical Sciences, 2001, 28(5): 251–284. doi: 10.1155/s0161171201007062
    NESTEROV I E and NEMIROVSKIĬ A S. Interior point polynomial algorithms in convex programming, SAM[J]. Studies in Applied Mathematics Philadelphia Siam, 1994, 6(4): 344–345. doi: 10.1137/1.9781611970791
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出版历程
  • 收稿日期:  2018-06-12
  • 修回日期:  2019-01-15
  • 网络出版日期:  2019-01-22
  • 刊出日期:  2019-05-01

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