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单锚节点水声网络高精度低开销初始化方法 被引量:3

Initialization method for underwater acoustic networks with one anchor
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摘要 网络初始化是网络协议正常运行的基础,共包括自定位及时间同步两部分。针对水声网络特点,提出一种仅采用单锚节点的参考节点自选则自定位算法,该算法仅采用一个锚节点,通过最优化选择参考节点,减小参考节点拓扑结构及网络测距误差对定位精度的影响,既有效解决了水声网络中锚节点少的问题,且提高了定位精度;在此基础上提出一种快速初始化方法,该方法将自定位与时间同步协同完成,使得网络可在较少的信息交互下快速实现初始化过程,减小通信开销及初始化时延,网络布放后可快速进入正常运行,提高网络工作效率。通过仿真得出,本文提出的方法较现有初始化方法锚节点需求少,定位精度高,初始化时延短、通信开销小,可以很好地应用于水声网络中。 The initialization method is an important procedure for network protocol. It has two parts, selflocalization and time synchronization. For underwater acoustic networks, a self-localization algorithm is proposed with selected reference nodes only using one anchor. This algorithm reduces the effection of topology and range error. It has a high accuracy without using a lot of anchors. On the basis of localization, an rapidly initialization method is presented. This method solves the time synchronization and localization problems at the same time which can decrease the time delay of the initialization process and the communication traffic. Simulation results show that the proposed method has high positioning accuracy, short initialization time delay and low communication traffic which has a good performance in underwater acoustic networks.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2017年第2期425-430,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61401364) 高等学校博士学科点专项科研基金(20136102120013)资助课题
关键词 单锚节点 初始化方法 自定位 时间同步 高精度 低开销 one anchor initialization method self-localization time synchronization high accuracy low communication traffic
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  • 1方震,赵湛,郭鹏,张玉国.基于RSSI测距分析[J].传感技术学报,2007,20(11):2526-2530. 被引量:265
  • 2郝志凯,王硕.无线传感器网络定位方法综述[J].华中科技大学学报(自然科学版),2008,36(S1):224-227. 被引量:14
  • 3王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:673
  • 4何晓群,刘文卿.浅谈加权最小二乘法及其残差图——兼答孙小素副教授[J].统计研究,2006,23(4):53-57. 被引量:20
  • 5STOJMENOVIC I. Handbook of Sensor Networks Algorithms and Architectures[M]. New Jersey: John Wiley & Sons, 2005. 被引量:1
  • 6WANG L, WANG X E A new WSN localization algorithm based on regularization method[A]. 2011 IEEE Instrumentation and Measure- ment Technology Conference (12MTC)[C]. Hangzhou, China, 2011.1-4. 被引量:1
  • 7CHEN Y F, SHU L, LI M C, et al. The insights of DV-base, d localiza- tion algorithms in the wireless sensor networks with duty-cycled and radio irregular sensors[A]. 2011 IEEE International Conference on Communications (ICC)[C]. Kyoto, Japan, 2011.1-6. 被引量:1
  • 8SHI Q J, HE C, CHEN H Y, et al. Distributed wireless sensor network localization via sequential greedy optimization algorithm[J]. IEEE Transactions on Signal Processing, 2010,58(6): 3328-3340. 被引量:1
  • 9XU Y X, GAO X, SUN Z Y, et al. WSN node localization algorithm design based on rssi technology[A]. 2012 Fifth International Confer- ence on Intelligent Computation Technology and Automation (ICICTA)[C]. Zhangjiajie, China, 2012. 556-559. 被引量:1
  • 10SUN X L, CHEN T, LI W Q, et al. Performance research of improved MDS-MAP algorithm in wireless sensor networks localization[A]. 2012 International Conference on Computer Science and Electronic Engineering (ICCSEE 2012)[C]. Hungzhou, China, 2012. 587- 590. 被引量:1

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