Aerial-SON: UAV-based Self-Organizing Network for Video Streaming in Dense Urban Scenario

Singhal, Chetna; Chandana, B N

doi:10.1109/comsnets51098.2021.9352853

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Gong and others [38] proposed an algorithm that minimizes the total flight times of drones while ensuring that each sensor uploads a certain amount of data. Additionally, Singhal and others [39] proposed an adaptive surveillance and event-telecast video-streaming service that uses drones employing WiFi-direct link scheduling and dynamic configuration settings to transmit data to ground control stations.…”

Section: Data Delivery In Uav Networkmentioning

confidence: 99%

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

Park,

Lee,

Park

et al. 2023

ETRI Journal

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This paper surveys recent multiagent reinforcement learning and neural Myerson auction deep learning efforts to improve mobility control and resource management in autonomous ground and aerial vehicles. The multiagent reinforcement learning communication network (CommNet) was introduced to enable multiple agents to perform actions in a distributed manner to achieve shared goals by training all agents' states and actions in a single neural network. Additionally, the Myerson auction method guarantees trustworthiness among multiple agents to optimize rewards in highly dynamic systems. Our findings suggest that the integration of MARL CommNet and Myerson techniques is very much needed for improved efficiency and trustworthiness.

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Section: Data Delivery In Uav Networkmentioning

confidence: 99%

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

Park,

Lee,

Park

et al. 2023

ETRI Journal

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“…Systems that stream video using drone cameras are one of the recent hot topics. Communication between drones was proposed for video transmission in [6], where a system was designed in which users in the network would use drone, cellular or WiFi connection according to the throughput value. The channel rental and energy consumption have been studied in [7] for the video sent from multiple drones to the base station, which then later sent to the clients connected to the base station.…”

Section: A Video Streaming By Using Dronesmentioning

confidence: 99%

Towards High Precision End-to-End Video Streaming from Drones using Packet Trimming

Karakış

Clayman

Tuker

et al. 2023

2023 IEEE 9th International Conference on Network Softwarization (NetSoft)

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The emergence of a number of network communication facilities such as Network Function Virtualization (NFV), Software Defined Networking (SDN), the Internet of Things (IoT), Unmanned Aerial Vehicles (UAV), and in-network packet processing, holds a potential to meet the low latency, high precision requirements of various future multimedia applications. However, this raises the corresponding issues of how all of these elements can be used together in future networking environments, including newly developed protocols and techniques. This paper describes the architecture of an end-to-end video streaming platform for video surveillance, consisting of a UAV network domain, an edge server implementing in-network packet trimming operations with the use of Big Packet Protocol (BPP), utilization of Scalable Video Coding (SVC) and multiple video clients which connect to a network managed by an SDN controller. A Virtualized Edge Function at the drone edge utilizes SVC and in communication with the Drone Control Unit to manage the transmitted video quality. Experimental results show the potential that future multimedia applications can achieve the required high precision with the use of future network components and the consideration of their interactions.

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“…Moreover, the proposed algorithm in [19] minimizes the drone's total flight time while allowing each sensor to successfully upload a certain amount of data. Furthermore, the proposed algorithm in [20] provides adaptive surveillance and event-telecast video streaming services from drones to ground control stations with WiFi-direct link scheduling its associated dynamic configuration settings.…”

Section: B Related and Previous Workmentioning

confidence: 99%

Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery

et al. 2022

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A successful deployment of drones provides an ideal solution for surveillance systems. Using drones for surveillance can provide access to areas that may be difficult or impossible to reach by humans or in-land vehicles gathering images or video recordings of a specific target in their coverage. Therefore, we introduces a data delivery drone to transfer collected surveillance data in harsh communication conditions. This paper proposes a Myerson auction-based asynchronous data delivery in an aerial distributed data platform in surveillance systems taking battery limitation and long flight constraints into account. In this paper, multiple delivery drones compete to offer data transfer to a single fixed-location surveillance drone. Our proposed Myerson auction based algorithm, which uses the truthful second-price auction (SPA) as a baseline, is to maximize the seller's revenue while meeting several desirable properties, i.e., individual rationality and incentive compatibility while pursuing truthful operations. On top of this SPA-based operations, a deep learning based framework is additionally designed for delivery performance improvements.

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Aerial-SON: UAV-based Self-Organizing Network for Video Streaming in Dense Urban Scenario

Cited by 9 publications

References 9 publications

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

Towards High Precision End-to-End Video Streaming from Drones using Packet Trimming

Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery

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