A Handover Mechanism for Centralized/Decentralized Networks Over Disruptive Scenarios

Rettore, Paulo H. L.; Rechenberg, Merlin von; Loevenich, Johannes; Lopes, Roberto Rigolin F.; Sevenich, Peter

doi:10.1109/milcom52596.2021.9653029

Cited by 13 publications

(3 citation statements)

References 26 publications

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“…Recent developments in artificial intelligence (AI) and LiDAR technologies, which are discussed in this article, have made it possible to integrate them in a seamless manner [7]. The voice assistance technology has also been improved in order to further guarantee that the responses to the driver's spoken inquiries are accurate and delivered in a timely manner [8].…”

Section: ░ 2 Related Workmentioning

confidence: 99%

An Innovative Guidotronic Bot with Integrated LiDAR and AI Voice Assistance

Aswin N.,

Teni Jio F.,

Pragnesh M.

et al. 2024

IIJSR

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This research paper discusses the futuristic combination of LiDAR technology and Guidotronic Bot with AI Voice Assistance to improve robotic systems. AI Voice Assistance launches a new era of human-machine interaction. Today, intuitive communication and robot integration are crucial. This section discusses how AI Voice Assistance improves user experience and how people will soon be able to talk to robots in natural language. This will set the stage for Guidotronic Bot implementation discussions. This study shows the Guidotronic Bot, which can multitask without human assistance. We observe it and its effects in various situations. The integration method integrates LiDAR technology with the Guidotronic Bot's infrastructure to enable real-time mapping and vision. Accurate three-dimensional mapping from LiDAR sensors helps you avoid obstacles and navigate rough terrain. The integrated algorithm simplifies Guidotronic Bot, LiDAR sensor, and AI Voice Assistance system collaboration by combining sensors and making decisions. The bot uses AI algorithms to translate voice commands, use LiDAR for environmental data, and drive itself. This integration should improve navigation, awareness of surroundings, and voice control. This research expands robotic systems and prepares for future advances in human-robot interaction. Combining the Guidotronic Bot with LiDAR and AI Speech Recognition opens up new ways to navigate, interact with smart home devices, and work.

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Section: ░ 2 Related Workmentioning

confidence: 99%

An Innovative Guidotronic Bot with Integrated LiDAR and AI Voice Assistance

Aswin N.,

Teni Jio F.,

Pragnesh M.

et al. 2024

IIJSR

View full text Add to dashboard Cite

show abstract

“…The programmability aspect of SDN allows MEC to conceal the complexity of the heterogeneous edge network from the end users, thus simplifying network configuration and policy implementation. Deploying an SDNbased MEC environment enhances the ability of terminal devices' switching between network Access Points (APs) [55], [56].…”

Section: Mec Handover Controlmentioning

confidence: 99%

Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A Review

Alkaabi,

Gregory,

2024

IEEE Access

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The deployment and operation of Multi-Access Edge Computing (MEC) at the network edge provides low latency computing and storage services for end user devices. Support for device mobility is a functional requirement for MEC and a handover strategy that supports the movement of device and application state between MEC nodes is an underlying technology. The handover strategy utilises an MEC node selection technique and a handover technique to provide a smooth transition between one MEC node to another. Research into MEC handover strategies has focused on algorithms, queuing, and other considerations. The migration of MEC device and application state is a complex process that requires resource allocation in the destination MEC node that could involve provisioning application instances and in some scenarios support for containers or Virtual Machines to be received from the originating MEC node. This paper reviews MEC handover strategies and provides a description of the MEC reference architecture and proposed handover algorithms and techniques found in the literature. MEC handover challenges and gaps in the body of knowledge are discussed to provide guidance for future work.

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“…In [5], the authors proposed an emulated test-bed to host experiments with Software-defined Networks (SDN) solutions deployed in tactical scenarios [6], [20]. The emulation, also using EMANE, can execute various applications or traffic generators in diverse SDN configurations.…”

Section: A Emulated/simulated Test Environmentsmentioning

confidence: 99%

TNT: A Tactical Network Test Platform to Evaluate Military Systems Over Ever-Changing Scenarios

2022

Self Cite

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This paper addresses the challenge of testing military systems and applications over different communication scenarios with both network conditions and user data flows changing independently. We assume that systems developed to handle ever-changing communication scenarios are more likely to be reliable and robust during real military operations. Therefore, we propose the Tactical Network Test (TNT) platform to automate the evaluation of military systems and applications over real military radios using a reproducible test methodology. TNT has four main goals (i) the creation of QoS-constrained data flows; (ii) the execution of models to change network conditions; (iii) the automation of experiments to quantify the performance of military systems over ever-changing communication scenarios; and (iv) the monitoring of quantitative metrics and performing data analysis. Our platform was used to execute experiments in a VHF network by sending uniformly distributed data flows during seven different communication scenarios, either generated by a stochastic model or mobility models. The experimental results are used to discuss the military system's performance by quantitative analysis using network metrics, and the test scenario characterization using mobility metrics.

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A Handover Mechanism for Centralized/Decentralized Networks Over Disruptive Scenarios

Cited by 13 publications

References 26 publications

An Innovative Guidotronic Bot with Integrated LiDAR and AI Voice Assistance

An Innovative Guidotronic Bot with Integrated LiDAR and AI Voice Assistance

Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A Review

TNT: A Tactical Network Test Platform to Evaluate Military Systems Over Ever-Changing Scenarios

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