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WSNs中优化移动Sink停留时间的研究

Study on Mobile Sink Sojourn Time Optimization Scheme for Wireless Sensor Networks
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摘要 针对移动信宿(Mobile Sink,MS)的簇化无线传感网络(Wireless Sensor Networks,WSNs),提出优化移动信宿(Mobile Sink,MS)在各簇内的停留时间(Mobile Sink Sojourn Time Optimization,MSSTO)算法。MSSTO算法通过优化MS在各簇内的停留时间,进而平衡各簇头的能耗。MSSTO算法引用一个静态信宿和一个移动信宿,且移动信宿依据Fermat螺旋路径移动。先估计在簇内的停留时间,然后利用整数线性规划(Integer Linear Programming,ILP)优化在簇内的停留时间。仿真数据表明,提出的MSSTO算法降低了能耗,并延长网络寿命。 For cluster-based wireless sensor network,Mobile Sink Sojourn Time Optimization(MSSTO)Scheme is proposed in this paper.MSSTO aims to optimize the sojourn time of Mobile Sink(MS)in each cluster in order to achieve balanced lifetime of Cluster Header(CHs)belonging to different layers of the network.Two sinks are employed,respectively,a static sink and mobile sink.And the mobile sink move on a Fermat spiral path.MSSTO first compute the sojourn time,and the sojourn time is optimized by Integer linear programming(ILP).Simulation results show that the proposed MSSTO reduce the energy consumption,and long the network lifetime.
作者 郭绪坤 范冰冰 陈纯炼 GUO Xukun;FAN Bingbing;CHEN Chunlian(Modern Education Technology Center,Guangzhou Sport University,Guangzhou 510500,China;College of Computer Science and Technology,South China Normal University,Guangzhou 510631,China;Department ofEconomics and Management Laboratory,Zhongshan Institute,University of Electronic Science and Technology of China,Zhongshan 528402,China)
出处 《电视技术》 2018年第11期107-111,共5页 Video Engineering
基金 2015年广东省教育厅重点平台及科研项目青年创新人才项目(自然科学类)(课题编号:2015KQNCX078)
关键词 无线传感网络 移动信宿 能耗 整数线性规划 停留时间 Wireless Sensor Network Mobile Sink Cluster Energy Consumption Integer Linear Programming Sojourn Time
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  • 1Zhang L Q, Zhou X B, Cheng Q. Landscape-3D: a Robust Localization Scheme for Sensor Networks over Complex 3D Terrains [DB/OL]. [2011-03-15]. http ://ieeexplore. ieee. org/xpl/articleDetails, isp?arnumber= 4116553.
  • 2Liang J L, Shao J, Xu Y, et al. Sensor Network Localization in Constrained 3-D Spaces [C]//Proc IEEE International Conference on Meehatronies and Automation. Luoyang: IEEE, 2006: 49-54.
  • 3Ou C H, Ssu K F. Sensor position Determination with Flying Anchors in Three-dimensional Wireless Sensor Networks [J]. IEEE Trans on Mobile Computing, 2008, 7(9) : 1084-1097.
  • 4Liu Lichuan, Manli E, Wang Zhigang. A 3D Self-positioning Method for Wireless Sensor Nodes Based on Linear FMCW and TFDA [C]//Proc of the 2009 IEEE International Conference on Systems, Man, and Cybernetics. San Antonio: IEEE, 2009: 2990-2995.
  • 5Chen Hongyang, Huang Pei, Martins M. Novel Centroid Localization Algorithm for Three-Dimensional Wireless Sensor Networks [DB/OL]. [2011-03-15]. http://www, cs. brown, edu/martins/lubs/Daoers/wicom 08-centroid. pdf.
  • 6Li Jian, Zhang Jianmin. A Weighted DV-Hop Localization Scheme for Wireless Sensor Networks[C]//Proe of the Eighth IEEE International Conference on Embedded Computing and IEEE International Conference on Scalable Computing and Communications. Dalian: IEEE, 2009: 269-272.
  • 7Yi Xiao, Liu Yu, Deng Lu. An Improved DV-Hop Positioning Algorithm With Modified Distance Error For Wireless Sensor Network [C]//2009 Second International Symposium on Knowledge Acquisition and Modeling. Wuhan: IEEE Computer Society, 2009: 216-218.
  • 8刘玉恒,蒲菊华,赫阳,熊璋.无线传感器网络三维自身定位方法[J].北京航空航天大学学报,2008,34(6):647-651. 被引量:29
  • 9戴桂兰,赵冲冲,邱岩.一种基于球面坐标的无线传感器网络三维定位机制[J].电子学报,2008,36(7):1297-1303. 被引量:31
  • 10江禹生,冯砚毫.一种新的DV-Hop定位算法[J].传感技术学报,2010,23(12):1815-1819. 被引量:14

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