Efficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches

Autor: Birtane Akar, Sibel, Korkmaz, Hayriye, Sahingoz, Ozgur Koray
Přispěvatelé: Birtane Akar S., KORKMAZ H., Sahingoz O. K., Mühendislik ve Doğa Bilimleri Fakültesi
Rok vydání: 2022
Předmět:
COMPUTER SCIENCE
ARTIFICIAL INTELLIGENCE
İnsan Bilgisayar Etkileşimi
Control and Optimization
NEUROSCIENCE & BEHAVIOR
Sinyal İşleme
Mühendislik
Life Sciences (LIFE)
ENGINEERING
AUTOMATION & CONTROL SYSTEMS
coverage
algorithms
Kontrol ve Optimizasyon
BİLGİSAYAR BİLİMİ
YAPAY ZEKA
Information Systems
Communication and Control Engineering
sensor deployment
Yapay Zeka
Bilgisayarla Görme ve Örüntü Tanıma
Artificial Intelligence
Yaşam Bilimleri
genetic algorithm
Bilgisayar Bilimleri
Engineering
Computing & Technology (ENG)
Bilgisayar Bilimi Uygulamaları
ENGINEERING
ELECTRICAL & ELECTRONIC
evolutionary algorithm
Computer Sciences
Temel Bilimler
Life Sciences
Mühendislik
Bilişim ve Teknoloji (ENG)
COMPUTER SCIENCE
Computer Science Applications
Human-Computer Interaction
OTOMASYON & KONTROL SİSTEMLERİ
Fizik Bilimleri
Yaşam Bilimleri (LIFE)
Signal Processing
Physical Sciences
Sinirbilim ve Davranış
Engineering and Technology
Bilgisayar Bilimi
MÜHENDİSLİK
ELEKTRİK VE ELEKTRONİK
Mühendislik ve Teknoloji
Computer Vision and Pattern Recognition
Bilgi Sistemleri
Haberleşme ve Kontrol Mühendisliği
Control and System Engineering
Natural Sciences
Algoritmalar
Kontrol ve Sistem Mühendisliği
Wireless Sensor Network
Popis: —In previous WSN studies, it was observed that there are two common methods used in coverage area calculation: 1) image processing technique or 2) mathematical formulas. calculation of the coverage area, if the sensing ranges of the mobile nodes intersect (overlap) each other, the processing time increases while the calculation result is wrong. In this study, a new method is proposed to calculate the coverage area with relatively high accuracy, including the overlap conditions, but in a shorter time. In this method, the points that were placed as targets to be tracked in the Region of Interest (ROI) in the previous studies are now used in a different way. All covered points by any node are counted to calculate the area. However, in this case, the number of points placed in the area should be much higher than in the previous cases. Coverage performance is calculated by counting the points covered by the WSN nodes and dividing them by the total number of points defined initially. (Coverage rate) First of all, to decide the experiment’s initial conditions, 57 different cases were simulated. Different number of sensor nodes with different radii (25, 50, 100, 200) was considered and then the average of the error rate of all cases was calculated. The lowest error value was obtained in the case of the 2000x2000 area. Therefore, an area of 2000x2000 was preferred in the next steps. It can be concluded that, this method is a promising method to calculate the coverage rate in WSNs. Index Terms—Wireless Sensor Network, sensor deployment, genetic algorithm, evolutionary algorithm, coverage.
Databáze: OpenAIRE
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