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无线传感器网络中基于能量检测的定位研究 被引量:4

Study of Wireless Sensor Network Localization Based on Energy Detection
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摘要 在许多无线传感器网络的应用中,节点定位是其关键技术之一,而定位精度的高低在很大程度上取决于距离测量的精度。针对射频信号受各种干扰影响而出现测距不精确的问题,该文对能量检测采用改进的限幅平均滤波方法,校正测量的节点间点到点的距离,并优选信标节点,最后用加权最小二乘法进行定位。实验及仿真结果表明,本定位算法可以提高测距精度,优于传统的RSSI三边定位算法。 The node localization is one of the key technologies in most applications of Wireless Sensor Networks(WSNs),moreover the error of distance measurements to some extent affected the nodes localization ' s precision.Aiming at the influence of RF signal by various disturbances,which led to ranging imprecise,this paper provided an improved limiting the average filtering method(ILAFM),calibrated range measurement between nodes and optimization of beacon node in sensor network,then localized nodes by using Weighted Least Square Estimates(WLSE).Experiments and simulations show that this algorithm improves the accuracy estimates of distance and yields better performance than the traditional RSSI trilateral algorithm in the same conditions.
出处 《传感技术学报》 CAS CSCD 北大核心 2011年第6期884-887,共4页 Chinese Journal of Sensors and Actuators
基金 基于WSN定位技术的变电站安全作业管理系统项目(CTGYSJKJ(2010)130)
关键词 无线传感器网络 能量检测定位 改进的限幅平均滤波 加权最小二乘法 wireless sensor networks localization based on energy detection ILAFM WLSE
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  • 1纪金水.基于Zigbee无线传感器网络技术的系统设计[J].计算机工程与设计,2007,28(2):404-408. 被引量:45
  • 2Kichun Jo. Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning [ J ]. 1EEE Transactions on Intelligent Transportation Systems, 2012,13( 1 ) :329-343.
  • 3Want R, Hopper A, Falco V. The Active Badge Location System [ J]. ACM Transactions on information Systems, 1992, i0( 1 ):91 -102.
  • 4Priyantha N B, Chakraborty A, Balakrishnan H. The Cricket Location-Support System[ C ]//Proceedings of the 6th Annual In- ternational Conference on Mobile Computing and Networking ( MobiCom' 00 ) , Boston, USA: IEEE Mobile Computing and Networking, 2000 : 32 -43.
  • 5Moustafa Youssef, Matthew Mah, Ashok Agrawala. Challenges: Device-Free Passive Localization for Wireless Environments [ C l// Proceedings of the 13th Annual ACM international Conference on Mobile Computing and Networking ( MobiCom' 07 ), Montreal, Canada:IEEE Mobile Computing and Networking,2007:222-229.
  • 6Moussa M, Youssef M. Smart Devices for Smart En'Jirnnments: Device-Free Passive Detection in Real Environments [ C ]//IEEE International Conference on Pervasive Computing and Communications ( PerCom 2009 ), Galveston, America: IEEE Pervasive Computing and Communications,2009:1-6.
  • 7Jie Yang,Yong Ge ,Hui Xiong. Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments [ C ]// Proceedings of IEEE Infocom 2010, San Diego, CA : IEEE lnfocom, 2010:1-9.
  • 8Joey Wilson, Neal Patwari. Through-Wall Motion Tracking Using Variance-Based Radio Tomography Networks [ J ]. IEEE Transactions on Mobile Computing ,2011,10( 5 ) :612-621.
  • 9Renbing Kuang, Heping Song, Guoli Wang. Target Localization Via Correlated Link Inference [ C l//International Conference on Mechatronics and Automation ( [CMA ), Beijing, China: IEEE M ec hatronics and Automation, 2011 : 1010 - 1014.
  • 10Yang Zhao, Neal Patwari. Noise Reduction for Variance-Based Device-Free Localization and Tracking [ C ]//20ll 8th Annual IEEE Communications Society Conference on Sensor,Mesh and Ad Hoe Communications and Networks (SECON), Salt Lake City, USA: IEEE Sensor, Mesh and Ad Hoc Communications and Networks ,201 1 : 179-187.

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