An improved DV-Hop localization algorithm based on evolutionary algorithms

被引：1
|
作者：
Mahshid Mehrabi
Hassan Taheri
Pooria Taghdiri
机构：
[1] Amirkabir University of Technology,Switching and Network Lab, Electrical Engineering Department
[2] Amirkabir University of Technology,Photonics Engineering Group
来源：
Telecommunication Systems | 2017年 / 64卷
关键词：
Localization; Wireless sensor networks; DV-Hop; Genetic algorithm; Shuffled frog leaping algorithm; Particle swarm optimization algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Localization is one of the most important issues in wireless sensor networks and designing accurate localization algorithms is a common challenge in recent researches. Among all localization algorithms, DV-Hop attracts more attention due to its simplicity; so, we use it as a basis for our localization algorithm in order to improve accuracy. The various evolutionary algorithms such as Genetic, Shuffled Frog Leaping and Particle Swarm Optimization are employed in different phases of the main DV-Hop localization algorithm. Simulation results prove that our proposed method decreases the localization error efficiently without additional hardware.
引用
收藏
页码：639 / 647
页数：8
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