The next generation (6G) wireless systems aim to cater the Internet of Everything (IoE) and revolutionize customer services applications a fully intelligent autonomous system. To achieve this, digital twin edge network (DITEN) is proposed combine mobile/multi-access computing (MEC) (DT), thereby improving performance such as throughput security, reducing cost communication, computation, caching. In DITENs, status can be continuously monitored, based on obtained states, networking schemes,...

Abstract Due to their mobile character, ground vehicles and unmanned aerial (UAVs) are currently being considered as sensing devices that can collect data in the Internet of Things (IoT). Building enhancing trust security environments collection processes fundamental essential requirements. Here, we proposed a novel scheme named “Trust Data Collections via Vehicles joint with UAVs Smart Things” (T‐SIoTs scheme), which targets establish trust‐based environment for collections by utilizing...

Emotion recognition in conversation (ERC) aims to analyze the speaker’s state and identify their emotion conversation. Recent works ERC focus on context modeling but ignore representation of contextual emotional tendency. In order extract multi-modal information tendency utterance effectively, we propose a new structure named Emoformer vectors from different modalities fuse them with sentence vector be an capsule. Furthermore, design end-to-end model called EmoCaps, which extracts through...

Abstract The computer‐aided diagnostic (CAD) method to detect human brain tumors relies heavily on automated tumor characterization. Although CAD has been extensively researched, significant obstacles still exist. Magnetic resonance imaging (MRI) classifiers into glioma, meningioma, and pituitary tumors. However, accurately distinguishing between these types remains a complex challenge in medical imaging. recently developed deep learning machine (ML) techniques have shown immense potential...

Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing foundation for Internet Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is significance yet very challenging. To deal this challenge, low redundancy (LRDC) scheme proposed reduce delay as well energy consumption monitoring network by using matrix completion technique. Due correlation location-dependent sensing data, some...

An Aggregate Signature based Trust Routing (ASTR) scheme is proposed to guarantee safe data collection in WSNs. In ASTR scheme, firstly, the aggregate signature approach used and keep integrity. What more important, a light detour routing send abstract information which includes sending time ID of data, nodes’ sink over different paths can verify whether reaches safely. addition, trust path evaluated according success rate path. The susceptible frequent attack will be lowered with high...

Abstract Mobile edge computing (MEC) is envisioned as a promising platform for supporting emerging computation‐intensive applications on capacity and resource constrained mobile devices (MDs). In this platform, the task with high demand can be offloaded to nodes computing. Moreover, result cached nodes. When other MDs request that has been cached, directly return MD. However, storage of limited, effective prediction caching scheme one key issues MEC. article, matrix completion technology...

In the future era of intelligent networks, communication technology and network architecture need to be further developed provide users with high-quality services. The Space-Air-Ground Integrated Networks (SAGIN) is seen as a potential ubiquitous drive global network. space air segments in SAGIN can assist offloading traffic from ground segment. However, highly dynamic heterogeneous like SAGIN, decisions are easily affected by incorporated/malicious nodes. How ensure security improve...

Coherent OFDM detection requires accurate channel state information (CSI). Mobile radio channels are both time and frequency dispersive, especially at high vehicular speeds, which makes estimation a challenging problem in system design. Conventional preamble-based pilot-aided require numerous reference signals, significantly compromises the throughput. This paper proposes novel low complexity iterative turbo technique use of preamble, pilots soft decoded data an fashion to improve...

In this letter, a network-coded cooperation scheme with dynamic coding mechanism (DC-NCC) is proposed. DC-NCC, the relay dynamically adapts forming data based on observed instantaneous source-to-relay channel quality, and then forwards towards corresponding destinations. Under assumption (denoted as A) that each destination can reliably overhear from other sources, diversity-multiplexing tradeoff of DC-NCC proved to outperform conventional (CC), This verifies outperforms CC in bandwidth...