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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Bibliographic Details
Main Authors: Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Kamarulzaman, Ab Aziz, Nor Hidayati, Abdul Aziz
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/24943/
http://umpir.ump.edu.my/id/eprint/24943/1/40.1%20Simulated%20kalman%20filter%20optimization%20algorithm%20for%20maximization.pdf

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