Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G

Autor:	Quansi Wen, Ying Gao, Hongliang Lin, Yangliang Liu, Yijian Chen
Rok vydání:	2020
Předmět:	Service (systems architecture) Edge device Computer science computer.internet_protocol 02 engineering and technology lcsh:Chemical technology Computer security computer.software_genre Biochemistry Article Analytical Chemistry drones 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Edge computing business.industry 020208 electrical & electronic engineering 020206 networking & telecommunications flying automation Service-oriented architecture Service provider Atomic and Molecular Physics and Optics Drone edge service Network service Cellular network DAG-based blockchain Internet of Things business computer 5G mobile network
Zdroj:	Sensors Volume 20 Issue 21 Sensors, Vol 20, Iss 6209, p 6209 (2020) Sensors (Basel, Switzerland)
ISSN:	1424-8220
DOI:	10.3390/s20216209
Popis:	With the development of the Internet of Things (IoT), the number of drones, as a consumer-level IoT device, is rapidly increasing. The existence of a large number of drones increases the risk of misoperation during manual control. Therefore, it has become an inevitable trend to realize drone flying automation. Drone flying automation mainly relies on massive drone applications and services as well as third-party service providers, which not only complicate the drone network service environment but also raise some security and privacy issues. To address these challenges, this article proposes an innovative architecture called Secure Drone Network Edge Service (SDNES), which integrates edge computing and blockchain into the drone network to provide real-time and reliable network services for drones. To design a feasible and rational SDNES architecture, we first consider the real-time performance and apply edge computing technology in it to provide low-latency edge services for drones under 5G mobile network. We use DAG-based blockchain to guarantee the security and reliability of the drone network service environment and effectively avoid malicious behaviors. In order to illustrate the feasibility of this architecture, we design and implement a specific service case named Drone Collision Avoidance Navigation Service based on SDNES. Finally, a simulation experiment for the specific service case and a series of other performance-related experiments were carried out to verify the feasibility and rationality of our proposed architecture. The experimental results demonstrate that SDNES is a promising architecture to assist and accelerate drone flying automation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a031e44049468ed72eee162847b5f2 https://doi.org/10.3390/s20216209 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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