Edge Collaborative Caching Based on Multi-Agent Communication Model with Gating Mechanism

Collaborative edge caching in Internet of Things (IoT) networks uses Edge Servers (ESs) for localized storage and cooperation, but faces challenges from limited storage and diverse user preferences. To address this, we propose the Multi-Agent Communication Model with Gating Mechanism (MACM-GM). Its dynamic gating mechanism enables ESs to selectively share essential state information, reducing communication overhead. Additionally, Conditional Redundancy Nodes (CRNs) allow the dynamic selection of optimal ESs as auxiliary storage nodes, improving caching flexibility and resource utilization. Simulation results demonstrate that MACM-GM significantly outperforms baseline schemes in cache hit rate and backhaul traffic reduction.

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Publication Details

Published
2025-09-22
DOI
https://doi.org/10.23919/apnoms67058.2025.11181307
Primary Topic
Caching and Content Delivery
Type
article
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article

Edge Collaborative Caching Based on Multi-Agent Communication Model with Gating Mechanism

Yuxi Pi, Xiaogang Dong, Zheng Wan, Yu Zhou
Caching and Content Delivery
article

Edge Collaborative Caching Based on Multi-Agent Communication Model with Gating Mechanism

Yuxi Pi, Xiaogang Dong, Zheng Wan, Yu Zhou
article en

Abstract

Collaborative edge caching in Internet of Things (IoT) networks uses Edge Servers (ESs) for localized storage and cooperation, but faces challenges from limited storage and diverse user preferences. To address this, we propose the Multi-Agent Communication Model with Gating Mechanism (MACM-GM). Its dynamic gating mechanism enables ESs to selectively share essential state information, reducing communication overhead. Additionally, Conditional Redundancy Nodes (CRNs) allow the dynamic selection of optimal ESs as auxiliary storage nodes, improving caching flexibility and resource utilization. Simulation results demonstrate that MACM-GM significantly outperforms baseline schemes in cache hit rate and backhaul traffic reduction.

Jiujiang University (CN), Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 67%
Caching and Content Delivery
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