Community Division-Based Content Distribution in Information-Centric Satellite Networks: An Efficient Approach for Remote Sensing-Reference-Cited by-同舟云学术

Community Division-Based Content Distribution in Information-Centric Satellite Networks: An Efficient Approach for Remote Sensing

Published:2024-06-15 Issue:12 Volume:11 Page:21970-21984
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xu Rui¹^ORCID,Di Xiaoqiang²^ORCID,Chen Jing³^ORCID,Qi Hui³^ORCID,Zhao Liang⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China

2. School of Computer Science and Technology, Jilin Province Key Laboratory of Network and Information Security, and Information Center, Changchun University of Science and Technology, Changchun, China

3. School of Computer Science and Technology and the Jilin Province Key Laboratory of Network and Information Security, Changchun University of Science and Technology, Changchun, China

4. School of Computer Science, Shenyang Aerospace University, Shenyang, China

Funder

National Natural Science Foundation of China

Jilin Science and Technology Development Plan Project of China

Liaoning Province Applied Basic Research Program

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10474134.pdf?arnumber=10474134

Reference40 articles.

1. China’s high-resolution optical remote sensing satellites and their mapping applications

2. Cache management for large data transfers and multipath forwarding strategies in Named Data Networking

3. Hybrid Cache Management in IoT-Based Named Data Networking

4. Cache Placement in an NDN-Based LEO Satellite Network Constellation

5. An efficient scheme for in-orbit remote sensing image data retrieval

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