Abstract The development of the Internet Things (IoT) technology and their integration in smart cities have changed way we work live, enriched our society. However, IoT technologies present several challenges such as increases energy consumption, produces toxic pollution well E-waste cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green leads to an eco-friendly environment, which is more sustainable for Therefore, it essential address...

Disasters are crisis circumstances that put human life in jeopardy. During disasters, public communication infrastructure is particularly damaged, obstructing Search And Rescue (SAR) efforts, and it takes significant time effort to re-establish functioning infrastructure. SAR a critical component of mitigating environmental risks disasters harsh environments. As result, there an urgent need construct networks swiftly help efforts exchange emergency data. UAV technology has the potential...

Software-Defined Vehicular Network (SDVN) is a networking architecture that can provide centralized control for vehicular networks. However, the design routing policies in SDVNs generally influenced by several limitations, such as frequent topological changes, complex service requests, and long model training time. Intelligent Digital Twin-based Networks (IDT-SDVN) overcome these weaknesses maximize advantages of conventional SDVN enabling controller to construct virtual network spaces...

Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications the Beyond Fifth Generation (B5G) wireless communication networks. These networks have an avenue for generating considerable amount of heterogeneous data by expanding number Internet Things (IoT) devices environments. However, storing and processing massive limited computational capability energy availability at local nodes IoT network has been significant difficulty,...

Vehicular Edge Computing (VEC) is the transportation version of Mobile (MEC) in road scenarios. One key technology VEC task offloading, which allows vehicles to send their computation tasks surrounding Roadside Units (RSUs) or other for execution, thereby reducing delay and energy consumption. However, existing offloading schemes still have various gaps face challenges that should be addressed because with time-varying trajectories need process massive data high complexity diversity. In this...

In the era of data-driven healthcare, amalgamation blockchain and Federated Learning (FL) introduces a paradigm shift towards secure, collaborative, patient-centric data-sharing. This paper pioneers exploration conceptual framework technical synergy FL for decentralized data-sharing, aiming to strike balance between data utility privacy. FL, machine learning paradigm, enables collaborative AI model training across multiple healthcare institutions without sharing raw patient data. Combined...

Multisensory Metaverse applications ignite a revolution across industries, captivating audiences with immersive experiences. With the arrival of 6G technologies on horizon, stage is set for an unprecedented leap into realm even greater immersion and engagement. This survey explores transformative potential integrating multisensory technology, focusing commerce education within framework. imminent networks, characterized by ultra-high-speed connectivity, low latency, massive we delve how...

Edge Intelligence is an emerging technology which has attracted significant attention. It applies Artificial (AI) closer to the network edge for supporting Beyond fifth Generation (B5G) needs. On other hand, drones can be used as relay station (mobile drone intelligence) gather data from smart environments. Federated Learning (FL) enables perform decentralized collaborative learning by developing local models, sharing model parameters with neighbors and centralized unit improve global...

Prediction of the future location vehicles and other mobile targets is instrumental in intelligent transportation system applications. In fact, networking schemes protocols based on machine learning can benefit from results such accurate trajectory predictions. This because routing decisions always need to be made for scenario due inevitable latency caused by processing propagation request response. Thus, predict high-precision beyond state art, we propose a generative adversarial network...

To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties resource constrained vehicles. Compared with conventional centralized SDVNs, hybrid SDVNs combine control and self-organized distributed routing Ad-hoc NETworks (VANETs) mitigate burden on central controller caused by frequent uplink downlink transmissions. Although...

Wireless Body Area Network (WBAN) is a promising cost-effective technology for the privacy confined military applications and healthcare like remote health monitoring, telemedicine, e-health services. The use of Software-Defined (SDN) approach improves control management processes complex structured WBANs also provides higher flexibility dynamic network structure. To seamless routing performance in SDN-based WBAN, energy-efficiency problems must be tackled effectively. main contribution this...

The Internet of Drones (IoD) allows drones to collaborate safely while operating in a restricted airspace for numerous applications Industry 4.0 world. Energy efficiency and sharing sensing data are the main challenges swarm-drone collaboration performing complex tasks effectively efficiently real-time. Information security consensus achievement is required multi-drone presence Byzantine drones. may be enough cause present swarm coordination techniques collapse, resulting unpredictable or...

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is a promising technology to provide computational services ground terminal devices (TDs) in remote areas or for emergency incidents with its flexibility and mobility. This paper aims maximize the UAV's energy efficiency while considering fairness of offloading. We formulate this optimization problem by jointly UAV flight time, 3D trajectory, TD binary offloading decisions, time allocated TDs, which mixed-integer nonlinear...

Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile (MEC) to road scenarios. In VEC, task offloading can enable vehicles offload the computing tasks nearby Roadside Units (RSUs) deploy capabilities. However, highly dynamic network topology, strict low-delay constraints, and massive data of VEC pose significant challenges for implementing efficient offloading. Digital Twin-based emerging as solution enables real-time monitoring state through mapping interaction between...

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting the fourth industrial revolution, Industry 4.0. That is why IoT researcher's arena quite some time. With 4.0 still motion, world verge of 5th relatively new concept with many unclear opinions regarding its potential benefits, challenges, opportunities, trends, impact society. There dire need...

The combination of drones and Intelligent Reflecting Surfaces (IRS) have emerged as potential technologies for improving the performance six Generation (6G) communication networks by proactively modifying wireless through smart signal reflection manoeuvre control. By deploying IRS on drones, it becomes possible to improve coverage reliability network while reducing energy consumption costs. Furthermore, integrating with Federated Learning (FL) can further boost drone enabling collaborative...

In wireless networks, meeting the performance requirements of all tasks solely with Internet Things (IoT) devices is challenging due to their limited computational power and battery capacity. Given flexibility mobility, application unmanned aerial vehicles (UAVs) in context mobile edge computing (MEC) has garnered significant interest within sector. However, UAVs also face constraints terms resources like storage power. Therefore, it vital develop effective UAV assistance solutions provide...

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly modern transportation.The integration of Vehicle-to-Everything (V2X) further elevates road fosters the progress ITS through enabling direct vehicle communication interaction with infrastructure.However, penetration rate V2X vehicles is advancing gradually.Consequently, there will be mixed scenarios on road, involving both on-board units (OBUs)-equipped...