Evolutionary Tracking Algorithm Based on Combined Received Signal Strength and Angle of Arrival Measurements in Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Evolutionary Tracking Algorithm Based on Combined Received Signal Strength and Angle of Arrival Measurements in Wireless Sensor Networks

Published:2023-10-01 Issue:19 Volume:23 Page:23734-23743
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Caceres Najarro Lismer Andres¹^ORCID,Song Iickho¹^ORCID,Tomic Slavisa²^ORCID,Salman Muhammad¹^ORCID,Noh Youngtae¹^ORCID,Kim Kiseon³^ORCID

Affiliation:

1. School of Energy AI, Korea Institute of Energy and Technology, Naju, Republic of Korea

2. Cognitive and People-Centric Computing Laboratory, Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal

3. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea

Funder

National Research Foundation of Korea

Ministry of Trade, Industry, and Energy

Program of International Visiting Professor of the University of Science and Technology of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10269339/10235882.pdf?arnumber=10235882

Reference29 articles.

1. Improved trilateration for indoor localization: Neural network and centroid-based approach

2. Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks

3. Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics;khan;Proc Int Conf Information Fusion,2015

4. Improved Generalized Regression Neural Network for Target Localization

5. Enhanced RSSI-Based Real-Time Position-Tracking System in Vehicular Networks

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