Collaborative Caching Strategy for RL-Based Content Downloading Algorithm in Clustered Vehicular Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3235661
Abstract: With the explosive growth of content request services in the vehicle network, there is an urgent need to speed up the response process of content requests and reduce the backhaul burden on base stations (BSs).… read more here.
Keywords: content downloading; collaborative caching; content; based content ... See more keywords
Multiagent Federated Deep-Reinforcement-Learning-Based Collaborative Caching Strategy for Vehicular Edge Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3392329
Abstract: With the rapid advancement of in-vehicle communication technology, vehicular edge caching has garnered considerable attention as a pivotal technology to improve the efficiency of data transmission. However, existing studies often overlook the issues of increased… read more here.
Keywords: vehicle; edge; multiagent; caching strategy ... See more keywords
Collaborative Caching Strategy Based on Clustering in Vehicle Naming Data Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3618659
Abstract: Vehicular named data networking (VNDN) is a network architecture that supports various content-oriented applications in high-dynamic topology environments. Its inherent in-network caching helps with content delivery and communication efficiency in vehicular networks. Due to the… read more here.
Keywords: vehicle; caching strategy; network; collaborative caching ... See more keywords
Learning to Cache: Federated Caching in a Cellular Network With Correlated Demands
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3132048
Abstract: In this paper, the problem of distributed content caching in a small-cell Base Stations (sBSs) wireless network that maximizes the cache hit performance is considered. Most of the existing works consider static demands, however, here,… read more here.
Keywords: network; learning cache; federated caching; strategy ... See more keywords
An Intelligent Caching Strategy Considering Time-Space Characteristics in Vehicular Named Data Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3128012
Abstract: In the Internet of Vehicles (IoV), the classic TCP/IP still plays an important role for data transmission, traffic control and address assignment. However, with increasing requirements on content retrieve efficiency in IoV, the drawbacks of… read more here.
Keywords: message; vehicular named; named data; caching strategy ... See more keywords
A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2019.2933843
Abstract: Device-to-Device (D2D) communications incorporated with content caching have been regarded as a promising way to offload the cellular traffic data. In this paper, the caching strategy is investigated to maximize the D2D offloading gain with… read more here.
Keywords: offloading gain; d2d; strategy towards; caching strategy ... See more keywords
Multi-Agent Reinforcement Learning Based File Caching Strategy in Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2023.3278032
Abstract: —Mobile edge computing (MEC) reduces data service latency by pushing data to the network edge. However, due to the dynamic and diverse requests of mobile users, the problem of mobile edge caching is more complex… read more here.
Keywords: mobile edge; edge computing; edge; edge caching ... See more keywords
Adaptive Kernel Value Caching for SVM Training
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2944562
Abstract: Support vector machines (SVMs) can solve structured multioutput learning problems such as multilabel classification, multiclass classification, and vector regression. SVM training is expensive, especially for large and high-dimensional data sets. The bottleneck of the SVM… read more here.
Keywords: svm training; kernel value; training; caching strategy ... See more keywords
Performance analysis of the collaborative caching strategy in an UAV-RAN
Sign Up to like & getrecommendations! Published in 2021 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-021-01922-6
Abstract: Ultra-reliable and low-latency communication (URLLC) is one of the main service categories in the fifth-generation communication systems, which lays the foundation for emerging data-exploring video applications with strict end-to-end latency requirement. Unmanned aerial vehicle (UAV)… read more here.
Keywords: uav ran; collaborative caching; service; caching strategy ... See more keywords
A Periodic Caching Strategy Solution for the Smart City in Information-Centric Internet of Things
Sign Up to like & getrecommendations! Published in 2018 at "Sustainability"
DOI: 10.3390/su10072576
Abstract: Named Data Networking is an evolving network model of the Information-centric networking (ICN) paradigm which provides Named-based data contents. In-network caching is the responsible for dissemination of these contents in a scalable and cost-efficient way.… read more here.
Keywords: internet things; caching strategy; strategy; periodic caching ... See more keywords