帮助 关于我们

返回检索结果

基于传感器网络的多信道定位技术
Multi-channel Localization Technology Based on Sensor Networks

查看参考文献20篇

肖金超 1   曾鹏 1 *   何杰 2   于海斌 1  
文摘 针对无线传感器网络中的信号强度随信道和位置的变化特征进行研究,通过理论分析和实验验证的方式刻画了信号强度与信道、位置之间的关系.在此基础上,提出了使用多信道信号强度分布中心值进行定位的方法.实验结果表明,本文使用的方法可以提高测距和定位的精度,同时避免了复杂的运算过程,适合在现有的无线传感器网络上应用.
其他语种文摘 Characteristic relationships between the wireless sensor network's signal strength and the change in channel and position are studied. First, relationships between the signal intensity, channel and location are depicted and then verified by theoretical and experimental analysis. Thereafter, a positioning approach is proposed by using the center value of the multi-channel signal's intensity distribution. Experimental results show that the proposed method can improve the distance measurement and localization accuracy while avoiding complicated operations and is suitable for application to existing wireless sensor networks.
来源 信息与控制 ,2015,44(3):346-352 【核心库】
DOI 10.13976/j.cnki.xk.2015.0346
关键词 无线传感器网络 ; 信号强度 ; 多信道 ; 距离测量与定位
地址

1. 中国科学院沈阳自动化研究所, 网络化控制系统中国科学院重点实验室, 辽宁, 沈阳, 110016  

2. 广州中国科学院沈阳自动化研究所分所, 广东, 广州, 511458

语种 中文
文献类型 研究性论文
ISSN 1002-0411
学科 自动化技术、计算机技术
基金 广东省自然科学基金
文献收藏号 CSCD:5447510

参考文献 共 20 共1页

1.  He X. A LSSVR three-dimensional WSN nodes location algorithm based on RSSI. 2011 International Conference on Electrical and Control Engineering,2011:1889-1895 被引 1    
2.  Wang J Y. High-precision RSSI-based indoor localization using a transmission power adjustment strategy for wireless sensor networks. 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems,2012:1634-1638 被引 1    
3.  高国胜. 基于RSSI测距的信标节点自校正定位算法. 测控技术,2009,28(8):93-97 被引 10    
4.  Wang J. A survey on sensor localization. Journal of Control Theory and Applications,2010,8(1):2-11 被引 22    
5.  Pal A. Localization algorithms in wireless sensor networks: Current approaches and future challenges. Network Protocols and Algorithms,2010,2(1):45-73 被引 17    
6.  Kuriakose J. A review on localization in wireless sensor networks. Advances in Signal Processing and Intelligent Recognition Systems,2014:599-610 被引 3    
7.  刘颖. 基于迭代容积粒子滤波的蒙特卡洛定位算法. 信息与控制,2013,42(5):632-638 被引 4    
8.  Zhang J. Localization algorithm based on DV-HOP for wireless sensor networks. Journal of Computer Applications,2010,30(2):323-326 被引 3    
9.  Priwgharm R. Indoor localization system using RSSI measurement in wireless sensor networks based on ZigBee standard. The 3rd National Conference on Information Technology,2010:225-228 被引 1    
10.  Anzai D. An RSSI-based MAP localization method with channel parameters estimation in wireless sensor networks. Proceedirgs of the 69th IEEE Conference on Vehicular Technology,2009:1-5 被引 1    
11.  Yang S. HCRL: A hop-count-ratio based localization in wireless sensor networks. 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks,2007:31-40 被引 1    
12.  Ma D. Range-free wireless sensor networks localization based on hop-count quantization. Telecommunication Systems,2012,50(3):199-213 被引 2    
13.  Gao L. Simulation and implement of weighted centroid localization algorithm based on ZigBee. Chinese Journal of Sensors and Actuators,2010,23(1):30-32 被引 1    
14.  Priwgharm R. A comparative study on indoor localization based on RSSI measurement in wireless sensor network. 2011 Eighth International Joint Conference on Computer Science and Software Engineering,2011:1-6 被引 1    
15.  Dieng N A. A multi-path data exclusion model for RSSI-based indoor localization. 2012 15th International Symposium on Wireless Personal Multimedia Communications,2012:336-340 被引 1    
16.  任维政. 基于RSSI差分似然估计的WSN节点定位算法. 数据采集与处理,2009(6):757-761 被引 4    
17.  Dong Q. Evaluation of the reliability of RSSI for indoor localization. 2012 International Conference on Wireless Communications in Unusual and Confined Areas,2012:1-6 被引 1    
18.  沈军. 基于RSSI优化的模型参数实时估计定位算法. 计算机工程与设计,2012,33(2):464-468 被引 4    
19.  章坚武. 基于ZigBee的RSSI测距研究. 传感技术学报,2009,22(2):285-288 被引 39    
20.  Luo X. Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites. Advanced Engineering Informatics,2011,25(2):355-363 被引 5    
引证文献 3

1 陶姿邑 网络数据流特定数据检测方法优化研究 计算机仿真,2016,33(10):282-285
被引 0 次

2 卢先领 基于最大似然估计的加权质心定位算法 信息与控制,2016,45(5):582-587
被引 4

显示所有3篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号