5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project

Ioannis Chochliouros; Michail Alexandros Kourtis; George Xilouris; Wouter Tavernier; Anastasia Spiliopoulou; Zaharias Zaharis; Pavlos Lazaridis

doi:10.1007/978-3-031-49413-0_61

5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project

Ioannis Chochliouros, Michail Alexandros Kourtis, George Xilouris, Wouter Tavernier, Anastasia Spiliopoulou, Zaharias Zaharis, Pavlos Lazaridis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a Decentralized Autonomous Organization (DAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the DAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture.

Original language	English
Title of host publication	Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1
Editors	Andrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
Publisher	Springer, Cham
Pages	795-806
Number of pages	12
Volume	151
ISBN (Electronic)	9783031494130
ISBN (Print)	9783031494123, 9783031494154
DOIs	https://doi.org/10.1007/978-3-031-49413-0_61
Publication status	Published - 30 May 2024
Event	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom Duration: 29 Aug 2023 → 1 Sep 2023 https://unified2023.org/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	151 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated title	UNIfied 2023
Country/Territory	United Kingdom
City	Huddersfield
Period	29/08/23 → 1/09/23
Internet address	https://unified2023.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Chochliouros, I., Kourtis, M. A., Xilouris, G., Tavernier, W., Spiliopoulou, A., Zaharis, Z., & Lazaridis, P. (2024). 5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project. In A. D. Ball, H. Ouyang, J. K. Sinha, & Z. Wang (Eds.), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1 (Vol. 151, pp. 795-806). (Mechanisms and Machine Science; Vol. 151 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-49413-0_61

Chochliouros, Ioannis ; Kourtis, Michail Alexandros ; Xilouris, George et al. / 5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. editor / Andrew D. Ball ; Huajiang Ouyang ; Jyoti K. Sinha ; Zuolu Wang. Vol. 151 Springer, Cham, 2024. pp. 795-806 (Mechanisms and Machine Science).

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title = "5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project",

abstract = "In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a Decentralized Autonomous Organization (DAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the DAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture.",

keywords = "5G, Decentralized application (DApp), Decentralized autonomous organization (DAO), Distributed ledger technology (DLT), Drone, Mast ispection",

author = "Ioannis Chochliouros and Kourtis, {Michail Alexandros} and George Xilouris and Wouter Tavernier and Anastasia Spiliopoulou and Zaharias Zaharis and Pavlos Lazaridis",

note = "Funding Information: This work has been performed in the scope of the OASEES European Research Project and has been supported by the Commission of the European Communities/HORIZON, Grant Agreement No.101092702. Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, UNIfied 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

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Chochliouros, I, Kourtis, MA, Xilouris, G, Tavernier, W, Spiliopoulou, A, Zaharis, Z & Lazaridis, P 2024, 5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project. in AD Ball, H Ouyang, JK Sinha & Z Wang (eds), Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. vol. 151, Mechanisms and Machine Science, vol. 151 MMS, Springer, Cham, pp. 795-806, The UNIfied Conference of DAMAS, InCoME and TEPEN Conferences, Huddersfield, United Kingdom, 29/08/23. https://doi.org/10.1007/978-3-031-49413-0_61

5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project. / Chochliouros, Ioannis; Kourtis, Michail Alexandros; Xilouris, George et al.

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. ed. / Andrew D. Ball; Huajiang Ouyang; Jyoti K. Sinha; Zuolu Wang. Vol. 151 Springer, Cham, 2024. p. 795-806 (Mechanisms and Machine Science; Vol. 151 MMS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chochliouros, Ioannis

AU - Kourtis, Michail Alexandros

AU - Xilouris, George

AU - Tavernier, Wouter

AU - Spiliopoulou, Anastasia

AU - Zaharis, Zaharias

AU - Lazaridis, Pavlos

N1 - Funding Information: This work has been performed in the scope of the OASEES European Research Project and has been supported by the Commission of the European Communities/HORIZON, Grant Agreement No.101092702. Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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N2 - In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a Decentralized Autonomous Organization (DAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the DAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture.

AB - In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a Decentralized Autonomous Organization (DAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the DAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture.

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KW - Distributed ledger technology (DLT)

KW - Drone

KW - Mast ispection

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Chochliouros I, Kourtis MA, Xilouris G, Tavernier W, Spiliopoulou A, Zaharis Z et al. 5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project. In Ball AD, Ouyang H, Sinha JK, Wang Z, editors, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 1. Vol. 151. Springer, Cham. 2024. p. 795-806. (Mechanisms and Machine Science). Epub 2024 May 29. doi: 10.1007/978-3-031-49413-0_61

5G High Mast Inspection Based on a Decentralized Autonomous Organization in the Framework of the OASEES Project

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UN SDGs

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