Fog Robotics Distributed Computing in a Monitoring Task

Ivanov, Donat

doi:10.1007/978-3-030-51971-1_45

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…These issues help to assess the real-time aspects, data processing, and data analysis payload processes within any project. In the context of SR, it is feasible to analyze the data in the Edge [ 82 , 83 ], Fog [ 84 , 85 , 86 ], Cloud [ 87 , 88 , 89 ], or even combine these strategies [ 90 ]. Some examples of frameworks and architectures are: Aerostack is an example of architecture and software framework developed for UAV/UAS SR applications [ 91 ].…”

Section: Swarm Robotic Projectsmentioning

confidence: 99%

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Dias

Silva

Filho

et al. 2021

Sensors

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Known as an artificial intelligence subarea, Swarm Robotics is a developing study field investigating bio-inspired collaborative control approaches and integrates a huge collection of agents, reasonably plain robots, in a distributed and decentralized manner. It offers an inspiring essential platform for new researchers to be engaged and share new knowledge to examine their concepts in analytical and heuristic strategies. This paper introduces an overview of current activities in Swarm Robotics and examines the present literature in this area to establish to approach between a realistic swarm robotic system and real-world enforcements. First, we review several Swarm Intelligence concepts to define Swarm Robotics systems, reporting their essential qualities and features and contrast them to generic multi-robotic systems. Second, we report a review of the principal projects that allow realistic study of Swarm Robotics. We demonstrate knowledge regarding current hardware platforms and multi-robot simulators. Finally, the forthcoming promissory applications and the troubles to surpass with a view to achieving them have been described and analyzed.

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Section: Swarm Robotic Projectsmentioning

confidence: 99%

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Dias

Silva

Filho

et al. 2021

Sensors

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“…Fog computing embraces the IoT concept and arises as a strategy to mitigate the burden of the traditional cloud-based approaches [21,23], improving latency, power consumption, scalability, and efficiency. The fog framework works as an autonomic system that enables the networking, storage, computing, and data management on network nodes [24,25]. In the industrial aspect, the fog paradigm can help in the processing of the data quickly and in the computation offloading to build a real-time system [26,27].…”

Section: Introductionmentioning

confidence: 99%

An Edge-Fog Architecture for Distributed 3D Reconstruction and Remote Monitoring of a Power Plant Site in the Context of 5G

Vidal

Honório

Pinto

et al. 2022

Sensors

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It is well known that power plants worldwide present access to difficult and hazardous environments, which may cause harm to on-site employees. The remote and autonomous operations in such places are currently increasing with the aid of technology improvements in communications and processing hardware. Virtual and augmented reality provide applications for crew training and remote monitoring, which also rely on 3D environment reconstruction techniques with near real-time requirements for environment inspection. Nowadays, most techniques rely on offline data processing, heavy computation algorithms, or mobile robots, which can be dangerous in confined environments. Other solutions rely on robots, edge computing, and post-processing algorithms, constraining scalability, and near real-time requirements. This work uses an edge-fog computing architecture for data and processing offload applied to a 3D reconstruction problem, where the robots are at the edge and computer nodes at the fog. The sequential processes are parallelized and layered, leading to a highly scalable approach. The architecture is analyzed against a traditional edge computing approach. Both are implemented in our scanning robots mounted in a real power plant. The 5G network application is presented along with a brief discussion on how this technology can benefit and allow the overall distributed processing. Unlike other works, we present real data for more than one proposed robot working in parallel on site, exploring hardware processing capabilities and the local Wi-Fi network characteristics. We also conclude with the required scenario for the remote monitoring to take place with a private 5G network.

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“…Nonetheless, for designing a secure and privacy-preserving tracing scheme, multiple challenges that face this emerging sector must first be overcome. Firstly, with the accelerating increase of connected IoRT devices in the Internet, tracing a robot device with a guarantee of its confidential location and trajectory is considered as the main challenge in the FC network system (Ivanov, 2020). Secondly, since fog nodes have limits in computing and storage ability, the scheme should be lightweight as a result of constraints in energy use and storage.…”

Section: Introductionmentioning

confidence: 99%

A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

Alamer

2020

LHT

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PurposeEmploying a fog computing (FC) network system in the robotic network system is an effective solution to support robotic application issues. The interconnection between robotic devices through an FC network can be referred as the Internet of Robotic Things (IoRT). Although the FC network system can provide number of services closer to IoRT devices, it still faces significant challenges including real-time tracing services and a secure tracing services. Therefore, this paper aims to provide a tracking mobile robot devices in a secure and private manner, with high efficiency performance, is considered essential to ensuring the success of IoRT network applications.Design/methodology/approachThis paper proposes a secure anonymous tracing (SAT) method to support the tracing of IoRT devices through a FC network system based on the Counting Bloom filter (CBF) and elliptic curve cryptography techniques. With the proposed SAT mechanism, a fog node can trace a particular robot device in a secure manner, which means that the fog node can provide a service to a particular robot device without revealing any private data such as the device's identity or location.FindingsAnalysis shows that the SAT mechanism is both efficient and resilient against tracing attacks. Simulation results are provided to show that the proposed mechanism is beneficial to support IoRT applications over an FC network system.Originality/valueThis paper represents a SAT method based on CBF and elliptic curve cryptography techniques as an efficient mechanism that is resilient against tracing attacks.

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Fog Robotics Distributed Computing in a Monitoring Task

Cited by 4 publications

References 28 publications

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

Swarm Robotics: A Perspective on the Latest Reviewed Concepts and Applications

An Edge-Fog Architecture for Distributed 3D Reconstruction and Remote Monitoring of a Power Plant Site in the Context of 5G

A secure anonymous tracing fog-assisted method for the Internet of Robotic Things

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