Target tracking in wireless sensor networks using NGEKF algorithm

Volume: 11, Issue: 8, Pages: 3417 - 3429
Published: Oct 19, 2019
Abstract
In this paper, we present a new method for tracking moving target in a wireless sensor network based on the combination of Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Generalized Extended Kalman Filter (GEKF) (NGEKF). GEKF is one of the best positioning algorithm but using all sensors in target tracking and high energy consumption are its drawbacks. To overcome these drawbacks, the sensor scheduling problem is considered as finding...
Paper Details
Title
Target tracking in wireless sensor networks using NGEKF algorithm
Published Date
Oct 19, 2019
Volume
11
Issue
8
Pages
3417 - 3429
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