Cross-Layer Optimization for Industrial Internet of Things in Real Scene Digital Twins-Reference-Cited by-同舟云学术

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Cross-Layer Optimization for Industrial Internet of Things in Real Scene Digital Twins

Published:2022-09-01 Issue:17 Volume:9 Page:15618-15629
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lv Zhihan¹^ORCID,Wu Jingyi²,Li Yuxi²^ORCID,Song Houbing³^ORCID

Affiliation:

1. Department of Game design, Faculty of Arts, Uppsala University, Uppsala, Sweden

2. College of Computer Science and Technology, Qingdao University, Qingdao, China

3. Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9866069/09716918.pdf?arnumber=9716918

Reference36 articles.

1. Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting

2. Target Tracking Algorithm for System With Gaussian/Non-Gaussian Multiplicative Noise

3. Quality of Service Constrained-Resource Allocation Scheme for Multiple Target Tracking in Radar Sensor Network

4. Direct Target Tracking by Distributed Gaussian Particle Filtering for Heterogeneous Networks

5. Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems

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