An Enhanced Food Digestion Algorithm for Mobile Sensor Localization-Reference-Cited by-同舟云学术

An Enhanced Food Digestion Algorithm for Mobile Sensor Localization

Published:2023-08-29 Issue:17 Volume:23 Page:7508
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Chu Shu-Chuan¹²^ORCID,Shao Zhi-Yuan¹,Zhong Ning³⁴⁵^ORCID,Liu Geng-Geng⁶^ORCID,Pan Jeng-Shyang¹⁷^ORCID

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

2. College of Science and Engineering, Flinders University, 1284 South Road, Tonsley, SA 5042, Australia

3. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan

4. International WIC Institute, Beijing University of Technology, Beijing 100124, China

5. Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China

6. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, China

7. Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan

Abstract

Mobile sensors can extend the range of monitoring and overcome static sensors’ limitations and are increasingly used in real-life applications. Since there can be significant errors in mobile sensor localization using the Monte Carlo Localization (MCL), this paper improves the food digestion algorithm (FDA). This paper applies the improved algorithm to the mobile sensor localization problem to reduce localization errors and improve localization accuracy. Firstly, this paper proposes three inter-group communication strategies to speed up the convergence of the algorithm based on the topology that exists between groups. Finally, the improved algorithm is applied to the mobile sensor localization problem, reducing the localization error and achieving good localization results.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/17/7508/pdf

Reference48 articles.

1. Equilibrium optimizer of interswarm interactive learning strategy;Shao;Enterp. Inf. Syst.,2023

2. Wu, T., Guo, X., Chen, Y., Kumari, S., and Chen, C. (2022). Amassing the security: An enhanced authentication protocol for drone communications over 5G networks. Drones, 6.

3. Capacity Optimization of Hybrid Energy Storage System Based on Improved Golden Eagle Optimization;Zhang;J. Netw. Intell.,2022

4. Digital watermarking with improved SMS applied for QR code;Pan;Eng. Appl. Artif. Intell.,2021

5. Evolutionary software engineering, a review;Mantere;Appl. Soft Comput.,2005