FEEL-enhanced Edge Computing in Energy Constrained UAV-aided IoT Networks DOI
Vatsala Sharma, Prajwalita Saikia, Sandeep Kumar Singh

et al.

2022 IEEE Wireless Communications and Networking Conference (WCNC), Journal Year: 2023, Volume and Issue: unknown, P. 1 - 6

Published: March 1, 2023

In this work, we investigate the performance of a federated edge learning (FEEL)-enhanced computing in unmanned aerial vehicles (UAV)-aided internet things (IoT) system under consideration limited energy at each UAV. It consists multiple UAVs which apply FEEL for local training and, then, transmit required parameters to centralized IoT-server. We use new cost metric obtained by linear combination latency and consumption, formulate an optimization problem jointly optimize central processing unit (CPU)-frequency during allotted bandwidth overall available Due non-convex nature formulated problem, propose twin delayed deep deterministic policy gradient (TD3)-based algorithm that solves provides optimum CPU frequency user. validate accuracy convergence proposed via exhaustive simulations highlight its effectiveness comparing with (DDPG) Qnetwork (DQN)-based solutions.

Language: Английский

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review DOI Open Access
Sofia Polymeni, Stefanos Plastras, Dimitrios N. Skoutas

et al.

Electronics, Journal Year: 2023, Volume and Issue: 12(12), P. 2651 - 2651

Published: June 13, 2023

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied primitive tools, 2.0, incorporated machinery advanced practices, subsequently 3.0, emphasized mechanization employed intelligent technology enhance levels. To further automate agricultural while minimizing inputs pollutants, new approach management concepts fourth industrial revolution is being embraced gradually. This referred as “Agriculture 4.0” mainly implemented through use Internet Things (IoT) technologies, enabling remote control sensors actuators efficient collection transfer data. In addition, fueled by such robotics, artificial intelligence, quantum sensing, four-dimensional communication, form smart agriculture, called 5.0,” now emerging. 5.0 can exploit growing 5G network infrastructure basis. However, only 6G-IoT networks will be able offer technological advances that allow full expansion 5.0, inferred relevant scientific literature research. this article, we first introduce scope well key features leveraged much-anticipated communication systems. We then highlight importance influence these developing advancement conclude with discussion future challenges opportunities.

Language: Английский

Citations

60

Blockchain-Assisted UAV Communication Systems: A Comprehensive Survey DOI Creative Commons
Sana Hafeez, Ahsan Raza Khan,

Mohammad Al-Quraan

et al.

IEEE Open Journal of Vehicular Technology, Journal Year: 2023, Volume and Issue: 4, P. 558 - 580

Published: Jan. 1, 2023

Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-effective and credible solutions for various real-world scenarios. UAVs an immense variety of services due autonomy, mobility, adaptability, communications interoperability. Despite the expansive use support ground communications, data exchanges in those networks are susceptible security threats because most communication is through radio or Wi-Fi signals, which easy hack. While several techniques exist protect against cyberattacks. Recently emerging technology blockchain could be one promising ways enhance user privacy peer-to-peer UAV networks. Borrowing superiorities blockchain, multiple entities can communicate securely, decentralized, equitably. This article comprehensively overviews integration blockchain-assisted communication. For this goal, we present a set fundamental analyses critical requirements that help build models manage decentralized storage systems. The system's objectives, including availability, authentication, authorization, confidentiality, integrity, privacy, non-repudiation, thoroughly examined deeper insight. We wrap up with discussion open research challenges, constraints current standards, potential future directions.

Language: Английский

Citations

49

Periodic Collaboration and Real-Time Dispatch Using an Actor–Critic Framework for UAV Movement in Mobile Edge Computing DOI
Hongwei Zeng,

Zhongzhi Zhu,

Ye Wang

et al.

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(12), P. 21215 - 21226

Published: March 4, 2024

The increasing need for communication capabilities in mobile devices has led to the recognition of edge computing (MEC) as a critical solution addressing computationally intensive and latency-sensitive tasks due its widespread distribution resources close devices. However, scenarios such disaster response emergency rescue, rapid deployment servers handle may be challenging. Therefore, unmanned aerial vehicle (UAV)-assisted MEC systems have garnered significant interest their ease high mobility. Nonetheless, limited computational sensing radius UAVs give rise challenge optimizing target area coverage mission data processing timeliness within restricted time period. In this challenge, we present PCRDAC, novel reinforcement learning-based mobility management framework UAVs. This periodically instructs collaboratively update decision networks, thus determining movement patterns. can also control support worst-case scenarios. Comprehensive simulation experiments validate efficacy our framework. Our promotes efficient collaboration among significantly reduces staleness system. As result, collect ambient that is fresh enough.

Language: Английский

Citations

18

UAV-assisted mobile edge computing model for cognitive radio-based IoT networks DOI
Hisham M. Almasaeid

Computer Communications, Journal Year: 2025, Volume and Issue: unknown, P. 108071 - 108071

Published: Jan. 1, 2025

Language: Английский

Citations

2

Fundamental design aspects of UAV-enabled MEC systems: A review on models, challenges, and future opportunities DOI Open Access
Mohd Hirzi Adnan, Zuriati Ahmad Zukarnain, Oluwatosin Ahmed Amodu

et al.

Computer Science Review, Journal Year: 2024, Volume and Issue: 51, P. 100615 - 100615

Published: Feb. 1, 2024

Language: Английский

Citations

15

Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey DOI Creative Commons
Stefanos Plastras, Dimitrios Tsoumatidis, Dimitrios N. Skoutas

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(4), P. 1227 - 1227

Published: Feb. 15, 2024

The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices systems that were previously siloed, enabling new applications services in a cost-efficient manner. Thus, the IoT fuels societal transformation enables groundbreaking innovations like autonomous transport, robotic assistance, remote healthcare solutions. However, when considering Remote (IoRT), which refers expansion geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes challenging issue. Non-Terrestrial Networks (NTNs) increasingly as solution provide due growing integration satellites Unmanned Aerial Vehicles (UAVs) with networks. In this survey, we technological framework for NTNs IoT, followed classification most recent scientific research on NTN-based IoRT systems. Therefore, comprehensive overview current state identify emerging high potential. conclusion, present discuss 3GPP’s roadmap NTN standardization, aims establish an energy-efficient environment 6G era.

Language: Английский

Citations

14

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques DOI Creative Commons
Sun Hee Chun, Gianluca Fontanesi, Berk Canberk

et al.

IEEE Open Journal of Vehicular Technology, Journal Year: 2024, Volume and Issue: 5, P. 825 - 854

Published: Jan. 1, 2024

This paper provides a comprehensive overview of the evolution Machine Learning (ML), from traditional to advanced, in its application and integration into unmanned aerial vehicle (UAV) communication frameworks practical applications. The manuscript starts with an existing research on UAV introduces most ML techniques. It then discusses UAVs as versatile actors mobile networks, assuming different roles airborne user equipment (UE) base stations (BS). have demonstrated considerable potential addressing evolving challenges next-generation such enhancing coverage facilitating temporary hotspots but pose new hurdles including optimal positioning, trajectory optimization, energy efficiency. We therefore conduct review advanced strategies, ranging federated learning, transfer meta-learning explainable AI, address those challenges. Finally, use state-of-the-art algorithms these capabilities is explored their extension cloud and/or edge computing based network architectures highlighted.

Language: Английский

Citations

12

Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey DOI Creative Commons

Tanmay Baidya,

Ahmadun Nabi,

Sangman Moh

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(6), P. 1837 - 1837

Published: March 13, 2024

Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has emerged as a promising paradigm for providing computational support Internet Things (IoT) applications in remote, disaster-stricken, and maritime areas. In UAV-aided computing, offloading decision plays central role optimizing overall system performance. However, trajectory directly affects decision. general, IoT devices use ground offload computation-intensive tasks on servers. The UAVs plan their trajectories based task generation rate. Therefore, researchers are attempting to optimize along trajectory, numerous studies ongoing determine impact decisions. this survey, we review existing trajectory-aware techniques by focusing design concepts, operational features, outstanding characteristics. Moreover, they compared terms principles Open issues research challenges discussed, future directions.

Language: Английский

Citations

9

Comprehensive survey on resource allocation for edge-computing-enabled metaverse DOI

Tanmay Baidya,

Sangman Moh

Computer Science Review, Journal Year: 2024, Volume and Issue: 54, P. 100680 - 100680

Published: Sept. 9, 2024

Language: Английский

Citations

8

Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions DOI
Mobasshir Mahbub, Raed M. Shubair

Journal of Network and Computer Applications, Journal Year: 2023, Volume and Issue: 219, P. 103726 - 103726

Published: Aug. 26, 2023

Language: Английский

Citations

15