Improved Distance vector based Kalman Filter localization algorithm for wireless sensor network-Reference-Cited by-同舟云学术

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Improved Distance vector based Kalman Filter localization algorithm for wireless sensor network

Published:2023-05-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Control, Automation and Diagnosis (ICCAD)
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Author:

Mani Rahma¹,Messous Sana²,Campobello Giuseppe³,Battaglia Filippo³,Liouane Noureddine⁴

Affiliation:

1. University of Monastir,Laboratory of Automatic Signal and Image Processing,Monastir,Tunisia,5019

2. University of Monastir,Laboratory of Automatic Signal and Image Processing,Monastir,Tunisia

3. University of Messina,Department of Engineering,Messina,Italy

4. National Engineering School of Monastir, University of Monastir,Laboratory of Automatic Signal and Image Processing,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10151847/10152298/10152370.pdf?arnumber=10152370

Reference36 articles.

1. Source localization using TDOA and FDOA measurements based on modified cuckoo search algorithm

2. A novel range-free localization based on regulated neighborhood distance for wireless ad hoc and sensor networks

3. Maximum Correntropy Criterion for Robust TOA-Based Localization in NLOS Environments

4. Improved DV-Hop Localization Algorithm Based on Dynamic Anchor Node Set for Wireless Sensor Networks

5. Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network

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1. Localizing unknown nodes with an FPGA-enhanced edge computing UAV in wireless sensor networks: Implementation and evaluation;Pervasive and Mobile Computing;2024-10

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