Preventive maintenance of critical infrastructures using 5G networks &amp; drones

Zahariadis, Theodore; Voulkidis, Artemis; Karkazis, Panagiotis; Trakadas, Panagiotis

doi:10.1109/avss.2017.8078465

Cited by 23 publications

(12 citation statements)

References 4 publications

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“…In the upcoming 5G era a wide range of new business opportunities are anticipated [9][10][11]. These opportunities are tightly coupled with the rising popularity of sensor networks and IoT [12]. Sensor networks in combination with SDN, facilitate the development of a wide range of novel applications in various fields, including smart cities, smart healthcare, smart transport, industrial automation and disaster response to name a few.…”

Section: Motivation and State Of The Artmentioning

confidence: 99%

Comparison of Management and Orchestration Solutions for the 5G Era

Trakadas

Karkazis

Leligou

et al. 2020

JSAN

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5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network Services (NS) serving specific vertical industries and spanning across multiple administrative domains and heterogeneous infrastructures is challenging. The main challenges regard the efficient provision of NSs considering the Quality of Service (QoS) requirements per vertical industry along with the optimal usage of the allocated resources. Towards addressing these challenges, this paper details an innovative approach that we have developed for managing and orchestrating such NSs, called SONATA, and compare it with OSM and Cloudify, which are two of the most known open-source Management and Orchestration (MANO) frameworks. In addition to examining the supported orchestration mechanisms per MANO framework, an evaluation of main operational and functional KPIs is provided based on experimentation using a real testbed. The final aim is the identification of their strong and weak points, and the assessment of their suitability for serving diverse vertical industry needs, including of course the Internet of Things (IoT) service ecosystem.

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Section: Motivation and State Of The Artmentioning

confidence: 99%

Comparison of Management and Orchestration Solutions for the 5G Era

Trakadas

Karkazis

Leligou

et al. 2020

JSAN

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“…Aerial vehicles can also act as monitoring mobile devices (MDs) and for searching trapped earthquake survivors. Zahariadis et al [70] also utilized drones remote control for critical infrastructures with a 5G architecture to provide Preventive Maintenance as a Service (PMaaS) in a distribution and transmission network of energy (electricity and gas).…”

Section: Uav-aided Disaster Management Networkmentioning

confidence: 99%

“…Such interference can be a serious issue. Networks of UAVs are being used now for emergency communication infrastructure and surveillance, as suggested in [44,56,[66][67][68][69][70][71][72].…”

Section: Introductionmentioning

confidence: 99%

Communication and networking technologies for UAVs: A survey

Sharma

Vanjani

Paliwal

et al. 2020

Journal of Network and Computer Applications

213

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With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods.Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed.Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications.

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“…In the fifth-generation (5G) era, efficient, reliable and high-performance applications’ provision has to be combined with exploitation of capabilities offered by 5G networks. Optimal usage of the available resources has to be realized, while guaranteeing strict Quality of Service (QoS) requirements such as high data rates, ultra-low latency and jitter [ 14 , 15 ]. In this context, AI is critical to the cybersecurity aspect of an IIoT-enabled connected manufacturing environment, for accurately detecting and mitigating threats [ 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Trakadas

Simoens

Gkonis

et al. 2020

Sensors

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The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions. However, these results are currently only used in isolated and dispersed parts of the production process. At the same time, full integration of artificial intelligence (AI) in all parts of manufacturing systems is currently lacking. In this context, the goal of this manuscript is to present a more holistic integration of AI by promoting collaboration. To this end, collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption in manufacturing contexts and is promoted in terms of business intelligence optimization, human-in-the-loop and secure federation across manufacturing sites. To address these challenges, the proposed architectural approach builds on three technical pillars: (1) components that extend the functionality of the existing layers in the Reference Architectural Model for Industry 4.0; (2) definition of new layers for collaboration by means of human-in-the-loop and federation; (3) security concerns with AI-powered mechanisms. In addition, system implementation aspects are discussed and potential applications in industrial environments, as well as business impacts, are presented.

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Preventive maintenance of critical infrastructures using 5G networks & drones

Cited by 23 publications

References 4 publications

Comparison of Management and Orchestration Solutions for the 5G Era

Comparison of Management and Orchestration Solutions for the 5G Era

Communication and networking technologies for UAVs: A survey

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

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