A Comparative Analysis of Intelligent Algorithms for Localization in Wireless Sensor Networks

被引：23
|
作者：
Harikrishnan, R. [1 ]
Kumar, V. Jawahar Senthil [2 ]
Ponmalar, P. Sridevi [3 ]
机构：
[1] Sathyabama Univ, Fac Elect & Elect Engn, Madras, Tamil Nadu, India
[2] Coll Engn Guindy, Dept Elect & Commun Engn, Madras, Tamil Nadu, India
[3] Coll Engn Guindy, Fac Informat & Commun, Madras, Tamil Nadu, India
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2016年 / 87卷 / 03期
关键词：
Differential evolution; Firefly; Wireless sensor networks; Sensor node localization; Landmarks; Sensor node; OPTIMIZATION;
D O I：
10.1007/s11277-015-2635-4
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In a smart and decision making environment the location information of the sensors and devices under monitoring and control, is very much important, otherwise the sensed data becomes meaningless. This paper proposes three intelligent algorithms namely differential evolution localization algorithm, firefly localization algorithm, and a hybrid firefly differential evolution localization algorithm for wireless sensor networks localization problem. The proposed algorithms are range based and distributed localization algorithms. The algorithms are studied, analyzed and compared with respect to time complexity, convergence and accuracy of the estimated location information.
引用
收藏
页码：1057 / 1069
页数：13
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