Node localization scheme in wireless sensor networks under beacon drifting scenes

Xiao-min ZHAO; Hai-yang ZHANG; Yan JIN; Qing-zhang CHEN

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

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Node localization scheme in wireless sensor networks under beacon drifting scenes

Academic papers | 更新时间：2024-06-05

- Node localization scheme in wireless sensor networks under beacon drifting scenes
- Journal on Communications Vol. 36, Issue 2, Pages: 38-47(2015)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61379023);The Natural Science Foundation of Zhejiang Province(LY12F02036)
- DOI：10.11959/j.issn.1000-436x.2015032
  CLC： TP311
- Online First：2015-02，
  
  Published：25 February 2015
- 稿件说明：
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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：

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.

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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 .

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