Simulated Kalman Filter optimization algorithm for maximization of wireless sensor networks coverage

Simulated Kalman Filter optimization algorithm for maximization of wireless sensor networks coverage

Simulated Kalman Filter (SKF) is a population based optimization algorithm inspired by the Kalman filtering method. It had been successfully used for optimization of many engineering problems. In this work SKF is applied for wireless sensor networks (WSN) coverage optimization problem, where the obj...

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Bibliografski detalji
Glavni autori: Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Kamarulzaman, Ab Aziz, Nor Hidayati, Abdul Aziz
Format: Conference or Workshop Item
Jezik:English
Izdano: IEEE 2019
Teme:
TJ Mechanical engineering and machinery
Online pristup:http://umpir.ump.edu.my/id/eprint/24943/1/40.1%20Simulated%20kalman%20filter%20optimization%20algorithm%20for%20maximization.pdf

Internet

http://umpir.ump.edu.my/id/eprint/24943/1/40.1%20Simulated%20kalman%20filter%20optimization%20algorithm%20for%20maximization.pdf

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