A Hyperbolic Location Algorithm for Various Distributions of a Wireless Sensor Network

被引：0

作者：

Yildiz, Dogan ^{[1
]}

Karagol, Serap ^{[1
]}

Ozgonenel, Okan ^{[1
]}

机构：

[1] Ondokuz Mayis Univ, Dept Elect & Elect Engn, Samsun, Turkey

来源：

2017 5TH INTERNATIONAL ISTANBUL SMART GRID AND CITIES CONGRESS AND FAIR (ICSG) | 2017年

关键词：

Localization; Parametric-Hyperbolic Based Algorithm; Statistical Distributions; Time Difference of Arrival; Wireless Sensor Networks;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Intersection of hyperbolic curves defined by the Time Difference of Arrival (TDOA) is often used in Wireless Sensor Networks (WSNs) to estimate the location of sensors. This paper proposes a new algorithm of this type. The hyperbolic parametric equation and the rotation matrix are used to estimate the location of the target node and rotation, translation and intersection operations are applied. MATLAB simulations on Uniform, Beta, Weibull and Gamma distributed networks showed the optimum combinations of distribution, constant range and anchor percentage

引用

页码：75 / 79

页数：5

共 16 条

[1]

Aldalahmeh S., P 2012 IEEE WIR ADV, P49

[2]

Alrajeh N. A., 2013, INT J DISTRIBUTED SE, V9

[3]

[Anonymous], 2012, PROBABILITY STAT ENG

[4] Wireless Sensor Networks Formation: Approaches and Techniques [J].

Carlos-Mancilla, Miriam ;

Lopez-Mellado, Ernesto ;

Siller, Mario .

JOURNAL OF SENSORS, 2016, 2016

[5]

Drake SR, 2004, INT CONF ACOUST SPEE, P361

[6]

Elwischger Bernard P. B., IEEE T IND IN PRESS

[7]

Ennasr O, 2016, IEEE DECIS CONTR P, P2652, DOI 10.1109/CDC.2016.7798662

[8]

Kalayci T. E., 2009, 2009 AK BIL K

[9]

Mao G., 2009, LOCALIZATION ALGORIT, P1, DOI 10.4018/978-1-60566-396-8

[10] Assessing different parameters estimation methods of Weibull distribution to compute wind power density [J].

Mohammadi, Kasra ;

Alavi, Omid ;

Mostafaeipour, Ali ;

Goudarzi, Navid ;

Jalilvand, Mandi .

ENERGY CONVERSION AND MANAGEMENT, 2016, 108 :322-335

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