Sensor Localization in Wireless Sensor Networks Using Cultural Algorithm

被引：5
|
作者：
Kulkarni, Vaishali Raghavendra [1 ]
Desai, Veena [2 ]
机构：
[1] MS Ramaiah Univ Appl Sci, Bangalore, Karnataka, India
[2] KLS Gogte Inst Technol, Belgaum, Karnataka, India
来源：
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH | 2020年 / 11卷 / 04期
关键词：
Artificial Bee Colony Algorithm; Cultural Algorithm; Localization; Particle Swarm Optimization; Wireless Sensor Networks; ABC;
D O I：
10.4018/IJSIR.2020100105
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Evolutionary computing-based cultural algorithm (CA) has been developed for anchor-assisted, range-based, multi-stage localization of sensor nodes of wireless sensor networks (WSNs). The results of CA-based localization have been compared with those of swarm intelligence-based algorithms, namely the artificial bee colony algorithm and the particle swarm optimization algorithm. The algorithms have been compared in terms of mean localization error and computing time. The simulation results show that the CA performs the localization in a more accurate manner and at a higher speed than the other two algorithms.
引用
收藏
页码：106 / 122
页数：17
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