信标节点漂移情况下的无线传感器网络节点定位机制

赵小敏; 张海洋; 金言; 陈庆章

doi:10.11959/j.issn.1000-436x.2015032

您当前的位置：

首页 >

文章列表页 >

信标节点漂移情况下的无线传感器网络节点定位机制

学术论文 | 更新时间：2024-06-05

- 信标节点漂移情况下的无线传感器网络节点定位机制
- Node localization scheme in wireless sensor networks under beacon drifting scenes
- 通信学报 2015年36卷第2期页码：38-47
- 作者机构：
  
  浙江工业大学计算机科学与技术学院，浙江杭州 310023
- 作者简介：
  
  [ "赵小敏（1976-），男，浙江文成人，博士，浙江工业大学副教授，主要研究方向为无线传感器网络、信息安全。" ]
  [ "张海洋（1989-），男，黑龙江大庆人，浙江工业大学硕士生，主要研究方向为无线传感器网络。" ]
  [ "金言（1988-），男，浙江桐庐人，浙江工业大学博士生，主要研究方向为无线传感器网络。" ]
  [ "陈庆章（1955-），男，河南济源人，博士，浙江工业大学教授，主要研究方向为无线传感器网络、计算机支持的协同工作。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61379023);浙江省自然科学基金资助项目(LY12F02036)
- DOI：10.11959/j.issn.1000-436x.2015032
  中图分类号： TP311
- 网络首发：2015-02，
  
  纸质出版：2015-02-25
- 稿件说明：
移动端阅览
赵小敏, 张海洋, 金言, 等. 信标节点漂移情况下的无线传感器网络节点定位机制[J]. 通信学报, 2015,36(2):38-47.

Xiao-min ZHAO, Hai-yang ZHANG, Yan JIN, et al. Node localization scheme in wireless sensor networks under beacon drifting scenes[J]. Journal on Communications, 2015, 36(2): 38-47.
赵小敏, 张海洋, 金言, 等. 信标节点漂移情况下的无线传感器网络节点定位机制[J]. 通信学报, 2015,36(2):38-47. DOI： 10.11959/j.issn.1000-436x.2015032.

Xiao-min ZHAO, Hai-yang ZHANG, Yan JIN, et al. Node localization scheme in wireless sensor networks under beacon drifting scenes[J]. Journal on Communications, 2015, 36(2): 38-47. DOI： 10.11959/j.issn.1000-436x.2015032.

摘要

针对信标节点漂移情况下的节点定位问题，提出了一种分布式的信标节点漂移检测方法，采用节点自评分和协商机制，自动寻找可能发生了漂移的信标节点，同时针对大量信标节点发生漂移后的定位覆盖率下降问题，构建普通节点的定位可信度模型，并在定位盲区内使用一些较为可靠的普通节点作为临时信标节点进行定位。仿真实验表明，该算法在误检测、定位误差方面性能优于传统算法，具有较低的通信开销、较高的实用性和灵活性。

Abstract

Due to the accidentally position change of the beacons in wireless sensor networks

a distributed detecting mechanism of drifting beacon nodes is introduced based on self-scoring and consultation

therefore the drifting beacon nodes can be detected automatically.After studying the current node localization methods

an improved localization method is introduced against the localization coverage decreasing situation caused by beacon nodes drifting.A credibility model of the normal node localization method is built

and it is used as a basis to upgrade normal nodes as temporary beacon nodes in localization blind areas.Simulation results show that the performance of this algorithm is superior to other traditional algorithms in error detection rate

positioning error and communication cost aspects

and this algorithm has higher practicability and flexibility.

关键词

Keywords

references

SHI H , WANG W , KWOK N M , et al . Game theory for wireless sensor networks:a survey [J ] . Sensors , 2012 , 12 ( 7 ): 9055 - 9097 .

JANG W S , LEE D E , CHOI J H . Ad-hoc performance of wireless sensor network for large scale civil and construction engineering applications [J ] . Automation in Construction , 2012 , 26 ( 10 ): 32 - 45 .

HACKMANN G , SUN F , CASTANEDA N , et al . A holistic approach to decentralized structural damage localization using wireless sensor networks [J ] . Computer Communications , 2012 , 36 ( 1 ): 29 - 41 .

SHEN X S , LU M . A framework for indoor construction resources tracking by applying wireless sensor networks [J ] . Canadian Journal of Civil Engineering , 2012 , 39 ( 9 ): 1083 - 1088 .

GHOLAMI M , CAI N , BEMNAN R W . An artificial neural network approach to the problem of wireless sensors network localization [J ] . Robotics and Computer-Integrated Manufacturing , 2012 , 29 ( 1 ): 96 - 109 .

COTA-RUIZ J , ROSILES J G , SIFUENTES E , et al . A low- complexity geometric bilateration method for localization in wireless sensor networks and its comparison with least-squares methods [J ] . Sensors , 2012 , 12 ( 1 ): 839 - 862 .

MIN H F , YEI L W . Investigating target detection and localization in wireless sensor network [J ] . International Symposium on Robotics and Intelligent Sensors , 2012 , 41 : 75 - 81 .

KO S , TAKAYAMA J , OHYAMA S . Proposal of generalized vernier effect and its practical advantage for RF time-of-flight ranging between sensor nodes in wireless sensor networks [J ] . Sensors and Actuators A-Physical , 2011 , 167 ( 2 ): 537 - 547 .

JARRAY F . A lagrangean-based heuristics for the target covering problem in wireless sensor network [J ] . Applied Mathematical Modelling , 2013 , 37 ( 10 - 11 ): 6780 - 6785 .

CHANG C T , CHANG C Y , LIN C Y . Anchor-guiding mechanism for beacon-assisted localization in wireless sensor networks [J ] . IEEE Sensors Journal , 2012 , 12 ( 5 ): 1098 - 1111 .

BAO H , ZHANG B X , LI C . Mobile anchor assisted particle swarm optimization (PSO) based localization algorithms for wireless sensor networks [J ] . Wireless Communications ＆ Mobile Computing , 2012 , 12 ( 15 ): 1313 - 1325 .

KUO S P , KUO H J , TSENG Y C . The beacon movement detection problem in wireless sensor networks for localization applications [J ] . IEEE Transactions on Mobile Computing , 2009 , 8 ( 10 ): 1326 - 1338 .

KUO S P , KUO H J , TSENG Y C , et al . Detecting movement of beacons in location-tracking wireless sensor networks [A ] . Proceedings of the IEEE 66th Vehicular Technology Conference [C ] . Baltimore,USA , 2007 . 362 - 366 .

MOORE D , LEONARD J , RUS D , et al . Robust distributed network localization with noisy range measurements [A ] . Proceedings of the SenSys'04 Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems [C ] . San Diego,USA , 2004 . 50 - 61 .

KANNAN A , FIDAN B , MAO G . Robust distributed sensor network localization based on analysis of flip ambiguities [A ] . Proceedings of the Global Telecommunications Conference [C ] . New Orleans,USA , 2008 . 1 - 6 .

YANG Z , LIU Y H . Quality of trilateration:confidence-based iterative localization [J ] . IEEE transactions on parallel and Distributed Systems , 2009 , 21 ( 5 ): 631 - 640 .

孙国林 , 郭伟 . 基于数据融合的蜂窝无线定位算法研究 [J ] . 通信学报 , 2003 , 24 ( 1 ): 137 - 142 .

SUN G L , GUO W . The research of cellular location algorithm based on data fusion [J ] . Journal on Communication , 2003 , 24 ( 1 ): 137 - 142 .

朱剑 , 赵海 , 孙佩刚 . 基于RSSI均值等边三角形定位算法 [J ] . 东北大学学报 , 2007 , 28 ( 8 ): 1094 - 1097 .

ZHU J , ZHAO H , SUN P G. . Equilateral triangle laicization algorithm based on average RSSI [J ] . Journal of Northeastern University , 2007 , 28 ( 8 ): 1094 - 1097 .

ZHENG X C , YU F , ZHANG Y C . A novel energy-regenerative active suspension for vehicles [J ] . Journal of Shanghai Jiaotong University:Science , 2008 , 13 ( 2 ): 184 - 188 .

方震 , 赵湛 , 张玉国 . 基于RSSI测距分析 [J ] . 传感技术学报 , 2007 , 20 ( 11 ): 2526 - 2530 .

FANG Z , ZHAO Z , ZHANG Y G . Analysis of distance measurement based on RSSI [J ] . Journal of Transduction Technology , 2007 , 20 ( 11 ): 2526 - 2530 .

廖先林 , 耿娜 , 石凯等 . 无线传感器网络节点自身定位算法 [J ] . 东北大学学报 , 2007 , 28 ( 8 ): 801 - 804 .

LIAO X L , GENG N , SHI K , et al . Self-localization algorithm for wireless sensor network [J ] . Journal of Northeastern University , 2007 , 28 ( 8 ): 801 - 804 .

浏览量

1646

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于图提示微调的WSN节点时空相关性异常检测方法

面向WSN异常节点检测的融合重构机制与对比学习方法

基于半固定分簇的无线传感器网络节能分簇路由算法

TDoA定位盲区分析与节点部署策略研究

基于归零神经动力学的水下无线传感器网络节点测距定位方法