Emergency Caching: Coded Caching-based Reliable Map Transmission in
Emergency Networks
- URL: http://arxiv.org/abs/2402.17550v1
- Date: Tue, 27 Feb 2024 14:44:11 GMT
- Title: Emergency Caching: Coded Caching-based Reliable Map Transmission in
Emergency Networks
- Authors: Zeyu Tian, Lianming Xu, Liang Li, Li Wang, and Aiguo Fei
- Abstract summary: We propose a three-layer architecture of caching networks focusing on data collection and reliable transmission.
We propose a disaster map collection framework that integrates coded caching technologies.
Our proposed scheme is more effective than the non-coding caching scheme, as validated by simulation.
- Score: 9.423705897088672
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Many rescue missions demand effective perception and real-time decision
making, which highly rely on effective data collection and processing. In this
study, we propose a three-layer architecture of emergency caching networks
focusing on data collection and reliable transmission, by leveraging efficient
perception and edge caching technologies. Based on this architecture, we
propose a disaster map collection framework that integrates coded caching
technologies. Our framework strategically caches coded fragments of maps across
unmanned aerial vehicles (UAVs), fostering collaborative uploading for
augmented transmission reliability. Additionally, we establish a comprehensive
probability model to assess the effective recovery area of disaster maps.
Towards the goal of utility maximization, we propose a deep reinforcement
learning (DRL) based algorithm that jointly makes decisions about cooperative
UAVs selection, bandwidth allocation and coded caching parameter adjustment,
accommodating the real-time map updates in a dynamic disaster situation. Our
proposed scheme is more effective than the non-coding caching scheme, as
validated by simulation.
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