Importance-based data transmission optimization in multi-source single-sink wireless sensor networks

Importance-based data transmission optimization in multi-source single-sink wireless sensor networks
复制标题

多源单宿无线传感器网络中基于重要性的数据传输优化

DOI:
10.1002/wcm.2255
复制
发表时间:
2014-08
影响因子:
--
通讯作者:
Dalei Wu
Dalei Wu
中科院分区:
计算机科学4区
文献类型:
--
作者:
Wei An;Jiajun Lin;Fang-Ming Shao;Haiyan Luo;Song Ci;Dalei Wu

文献摘要

参考文献

相似文献

能量有效的路由成为维持无线传感器网络整体生命周期的关键技术之一。在本文中,我们提出了一种新的数据传输方案之间的一些指定的源节点和单个sink,它可以有效地限制每个中继节点的使用频率,测量的源节点的数量使用它进行数据传输。根据与部署位置密切相关的源节点的重要性,它们形成降序,使得每个节点比后续节点更早找到最小能量路径。然后,开发了计算复杂度为On3的能量有效多路径算法,用于导出最小能量路径,其中n是网络中的节点数。此外,多项式算法推导的可行值的范围内的N0作为中继节点的使用频率的阈值,其中每个都可以保证解的存在性。在此基础上,我们利用m叉树理论研究了该问题解的存在性和树结构解。大量的仿真结果表明,我们提出的方案可以实现显着的性能增强。版权所有© 2012约翰威利父子有限公司.
Energy-efficient routing becomes one of the most critical technologies for sustaining the overall network lifetime of wireless sensor networks. In this paper, we propose a novel data transmission scheme between a number of specified source nodes and the single sink, which can efficiently restrict the usage frequency of each relay node, measured by the number of source nodes using it for data transmission. On the basis of the importance of source nodes that is closely related to deployed location, they form a descending sequence such that each node finds the minimum energy path earlier than the succeeding one. Then, the energy-efficient multiple path algorithm with the computational complexity of On3 is developed for deriving the minimum energy paths, where n is the number of nodes in the network. Also, a polynomial algorithm is presented for deriving the range of the feasible values of N0 serving as the threshold of the usage frequency of relay nodes, in which each can guarantee the existence of the solution. Further, we theoretically investigate the existence of the solution and the tree-structured solution using m-ary tree. Extensive simulation results show that our proposed scheme can achieve significant performance enhancement. Copyright © 2012 John Wiley & Sons, Ltd.
DOI: 10.1109/tnet.2007.906663
发表时间: 2008-10-01
影响因子: 3.7
作者:
Wang, Wei;Srinivasan, Vikram;Chua, Kee-Chaing
通讯作者: Chua, Kee-Chaing
DOI: 10.1109/icc.2007.521
发表时间: 2007-06
期刊: 2007 IEEE International Conference on Communications
影响因子: --
作者:
M. Dhanaraj;C. Murthy
通讯作者: M. Dhanaraj;C. Murthy
DOI: 10.1109/glocom.2011.6134557
发表时间: 2011-12
期刊: 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
影响因子: --
作者:
W. An;Haiyan Luo;S. Ci;Jia-Kai Lin
通讯作者: W. An;Haiyan Luo;S. Ci;Jia-Kai Lin
DOI: --
发表时间: 2009
期刊: --
影响因子: --
作者:
T. Cormen;C. Leiserson;R. Rivest;C. Stein
通讯作者: T. Cormen;C. Leiserson;R. Rivest;C. Stein
DOI: 10.1109/t-wc.2008.070079
发表时间: 2008-10
影响因子: 10.4
作者:
Hui Wang;Yuhang Yang;M. Ma;Jianhua He;Xiaoming Wang
通讯作者: Hui Wang;Yuhang Yang;M. Ma;Jianhua He;Xiaoming Wang