Summary of Top-k Multi-armed Bandit Learning For Content Dissemination in Swarms Of Micro-uavs, by Amit Kumar Bhuyan et al.
Top-k Multi-Armed Bandit Learning for Content Dissemination in Swarms of Micro-UAVs
by Amit Kumar Bhuyan, Hrishikesh Dutta, Subir Biswas
First submitted to arxiv on: 16 Apr 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Networking and Internet Architecture (cs.NI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a novel content management system for disaster scenarios where communication infrastructure is compromised. The system utilizes hybrid networks of stationary and mobile Micro-Unmanned Aerial Vehicles (UAVs) to provide crucial content access to isolated communities. The architecture involves anchor UAVs serving individual communities, while micro-ferrying UAVs extend coverage across multiple communities. The primary goal is to devise a content dissemination system that dynamically learns caching policies to maximize content accessibility. The core contribution is an adaptive content dissemination framework employing decentralized Top-k Multi-Armed Bandit learning for efficient UAV caching decisions. The approach accounts for geo-temporal variations in content popularity and diverse user demands. Additionally, the paper proposes a Selective Caching Algorithm to minimize redundant content copies by leveraging inter-UAV information sharing. Performance evaluation demonstrates improved system performance and adaptability across varying network sizes, micro-UAV swarms, and content popularity distributions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a special kind of drone-based delivery system for areas with no phone signal after a disaster. It helps people get important information like news and emergency updates. The drones use different strategies to decide what information to store on them and where to deliver it. This makes sure that the right information reaches the people who need it, even in really big or complex areas. |
