An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services-Reference-Cited by-同舟云学术

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An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services

Published:2024-05 Issue:5 Volume:20 Page:7404-7413
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Yang Zhen¹^ORCID,Zhang Jie²^ORCID,Jiang Yunliang³^ORCID,Jin Yaochu⁴^ORCID

Affiliation:

1. School of Electronic Information, Huzhou College, Huzhou, China

2. School of Information Engineering, Huzhou University, Huzhou, China

3. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China

4. School of Engineering, Westlake University, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province, China

R&D Program of Zhejiang Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10521545/10436383.pdf?arnumber=10436383

Reference34 articles.

1. A Game-Theoretic Analysis for Complementary and Substitutable IoT Services Delivery With Externalities

2. Intelligent Blockchain-Enabled Adaptive Collaborative Resource Scheduling in Large-Scale Industrial Internet of Things

3. Real-Time Optimized Path Planning and Energy Consumption for Data Collection in Unmanned Ariel Vehicles-Aided Intelligent Wireless Sensing

4. 5G Internet of Things: A survey

5. Middleware for Internet of Things: A Survey

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