Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy

Alsamhi, Saeed Hamood; Almalki, Faris A.; Afghah, Fatemeh; Hawbani, Ammar; Shvetsov, Alexey V.; Lee, Brian; Song, Houbing

doi:10.1109/tgcn.2021.3132561

Cited by 76 publications

(54 citation statements)

References 160 publications

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“…These solutions will also be able to provide farmers with real-time threat detection and its timely prevention. Alsamhi et al [101] propose using drones with B5G physical layer wireless technologies to perform federated learning and edge AI processing for smart environments. Intensive ML is possible over B5G networks due to its high data-rates and low latency [102].…”

Section: A Paradigm Shift From Cloud-based To Edge Ai Applications Fo...mentioning

confidence: 99%

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

2022

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Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors to remotely monitor and report conditions of the field, climate, and crops. This enables efficient management of resources like minimizing water requirements for irrigation and minimizing the use of toxic pesticides. Furthermore, the recent boom in Artificial Intelligence can enable farmers to deploy autonomous farming machinery and make better predictions of the future based on present and past conditions to minimize crop diseases and pest infestation. Together these two enabling technologies have revolutionized conventional agriculture practices. This survey paper provides: (a) A detailed tutorial on the available advancements in the field of smart agriculture systems through IoT technologies and AI techniques; (b) A critical review of these two available technologies and challenges in their widespread deployment; and (c) An in-depth discussion about the future trends including both technological and social when smart agriculture systems will be widely adopted by the farmers globally.

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Section: A Paradigm Shift From Cloud-based To Edge Ai Applications Fo...mentioning

confidence: 99%

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

2022

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“…Liu et al in [26] analyzed how blockchain can benefit ML, including data and model sharing, security and privacy, and trusted decision-making. Alsamhi et al in [27] focused on the synergy of federated learning (FL) and blockchain for green sustainable edge intelligence. The survey in [28] proposed to use blockchain to enhance the security of decentralized FL in terms of privacy protection and tamper-proof data.…”

Section: Related Workmentioning

confidence: 99%

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

Tang,

Yu,

Xie

et al. 2022

Preprint

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The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the Internet of intelligence, focusing on motivations, architecture, enabling technologies, applications, and existing challenges. This can provide a good foundation for those who are interested to gain insights into the concept of the Internet of intelligence and the key enablers of this emerging networking paradigm. Specifically, this paper starts by investigating the evolution of networking paradigms and artificial intelligence (AI), based on which we present the motivations of the Internet of intelligence by demonstrating that networking needs intelligence and intelligence needs networking. We then present the layered architecture to characterize the Internet of intelligence systems and discuss the enabling technologies of each layer. Moreover, we discuss the critical applications and their integration with the Internet of intelligence paradigm. Finally, some technical challenges and open issues are summarized to fully exploit the benefits of the Internet of intelligence.

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“…Humanity can now develop technologies that will facilitate human habitation on Mars thanks to the robotic expedition. Artificial intelligence and Machine Learning for supporting connectivity of robots, including UAVs, can achieve common tasks effectively and efficiently [89][90][91][92].…”

Section: Flapping Wing Dronementioning

confidence: 99%

Survey on Unmanned Aerial Vehicle for Mars Exploration: Deployment Use Case

Sharma

Gupta

et al. 2021

Drones

Self Cite

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In recent years, the area of Unmanned Aerial Vehicles (UAVs) has seen rapid growth. There has been a trend to build and produce UAVs that can carry out planetary exploration throughout the past decade. The technology of UAVs has tremendous potential to support various successful space mission solutions. In general, different techniques for observing space objects are available, such as telescopes, probes, and flying spacecraft, orbiters, landers, and rovers. However, a detailed analysis has been carried out due to the benefits of UAVs relative to other planetary exploration techniques. The deployment of UAVs to other solar bodies has been considered by numerous space agencies worldwide, including NASA. This article contributes to investigating the types of UAVs that have been considered for various planetary explorations. This study further investigates the behaviour of UAV prototypes on Mars’ surface in particular. It has been discovered that a prototype UAV flight on Mars has a higher chance of success. In this research, a prototype UAV has been successfully simulated to fly on Mars’ surface. This article discusses the opportunities, challenges, and future scope of deploying UAVs on Mars.

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Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy

Cited by 76 publications

References 160 publications

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

Survey on Unmanned Aerial Vehicle for Mars Exploration: Deployment Use Case

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