Industrial wireless sensor networks (IWSNs) promote innovations in the industry such as structural status mapping, instrument fault diagnosing, and oriented automation system associating. However, due to shared nature of propagation environment, emerging nodes (SNs) with properties are vulnerable external malicious attacks. The security threats, especially Sybil attacks, impose great difficulties fulfilling quality requirements industrial applications. What is more complicated that harsh...

Industrial Wireless Sensor Networks (IWSNs) integrate various types of sensors to measure and control industrial production. However, the unattended open environment makes IWSNs vulnerable malicious attacks, such as Sybil which may degrade network performance. In addition, multipath distortion, impulse noise interference effects in harsh influence accuracy attack detection. this paper, we propose a detection scheme based on power gain delay spread analysis by exploiting spatial variability...

Recent developments in industrial wireless sensor networks (IWSNs) have revolutionized automation systems. However, harsh environment poses great challenges to a time-critical and reliable communication. For instance, effects of multipath fading, noise co-channel interference can unpredictable time-varying impacts on the propagation channel, leading failure on-time packet delivery. To address this problem, paper we propose channel-based Optimal Back-off Delay Control (OBDC) scheme which...

In this paper, we propose a novel channel-aware latency taming scheme, called Optimal Transmission Latency Taming (OTLT), to detect hidden channel state and tame the distribution tail of packet sojourn time in Industrial Internet Things (IIoT) devices. Specifically, design forward algorithm based on semi-Markov model state, with particular emphasis duration, calculate corresponding access probability. Then develop time-sensitive investigate minimum spends IIoT device before leaving...

Empowered by the large amounts of sensor data in Industrial Internet Things, data-driven fault diagnosis has a pivotal role improving equipment reliability harsh industrial environments. To enhance diagnostic performance under unknown operating conditions, transfer learning-based cross-domain been emerging. However, models are prone to overfit source domain due lack sample diversity when only single-source is available. Moreover, significant shifts between and multiple target domains may...

Industrial Wireless Sensor Networks (IWSNs), as a kind of flexible platform to monitor machinery status and enhance industrial automation, bring enormous benefits in manufacturing, automated metering, conditioned-based maintenance inventory, etc. However, security threats, such Sybil attacks, hinder the flourish IWSNs, since they are hardly detected harsh environments with dispersive distortion, impulse noise interference. In this paper, we propose detection scheme called PGDS, based on...

High-speed train (HST) communications are envisioned to provide diversified broadband services by integrating with 5G while the high mobility induces fast-fading channels and potentially degrades system performance. To address this issue, we investigate an HST communication network empowered intelligent reflecting surfaces (IRSs) multiple-input–multiple-output (MIMO) technology. Statistical channel state information (CSI) is exploited mitigate impact of fast time-varying fading. The...

In mobile video streaming, 360-degree videos can provide users with immersive and memorable experience. Due to the panoramic high resolution features, limited bandwidth stringent latency requirements, transmission of full high-definition may cause severe stalling, significantly lowering users' quality experience (QoE). As content seen by user largely relies on user's viewing direction size field view, in this paper, we investigate viewpoint prediction dynamic tile selection improve QoE for...

Industrial Wireless Sensor Networks (IWSNs) improve the transmission precision of control signaling as well contributing to real-time data monitoring and instrument fault diagnosing throughout manufacturing production. However, wireless channel effects, such multipath attenuations, noise co- interference, may have unpredictable time-varying impacts on keeping packets delay. To address this issue, we propose a Channel-based Sampling rate Queuing state Control (CSQC) scheme minimize packet...

Mobile Edge Computing (MEC) networks are developing toward a large-scale, highly dynamic, distributed, and heterogeneous network. With the increasing scale of MEC, types devices accessing MEC become more diverse, number is uncertain. Meanwhile, for lack effective coordinated mechanisms among devices, severe network load imbalance issues will occur. To tackle this problem, work proposes cybertwin-enabled access strategy with an uncertain devices. Specifically, edge cloud problem first modeled...

In this paper, we propose a two-level adaptive resource allocation (TARA) framework to support vehicular safety message transmissions. particular, three types of messages are considered in urban networks, i.e., event-triggered for urgent condition warnings, periodic status notifications, and environmental perception. Roadside units deployed network management, thus can be transmitted through either vehicle-to-infrastructure or vehicle-to-vehicle connections. To satisfy the requirements...

To realize secure communication and prevent eaves-droppers from detecting the existence of activities, covert has attracted substantial research interests. In this paper, we propose a dynamic spectrum control (DSC)-assisted scheme to achieve reliable data transmission. Specifically, by constructing time-frequency division channels, proposed DSC-assisted generates sequences with iterative orthogonal transformations. Authorized users can orderly occupy different frequency slots in each time...

Localization in Industrial Wireless Sensor Networks (IWSNs) promotes innovations manufacturing applications, such as structural status mapping, instrument fault diagnosing and oriented automation system associating. However, dispersive distortion, impulse noise interference effects causing unpredictable time-variant of the signal, decrease localization accuracy harsh environments. In this paper, we propose a reduction scheme IWSNs, called Support Vector Semidefinite (SVSD), based on...

In this paper, we investigate dense short packet forwarding for clustering-based massive Internet-of-Things (mIoT). The objective is to support the data with minimal communication overhead while satisfying differentiated latency constraints from transport layer perspective. To end, propose a assembling scheme, named ShuttleBus, devices in mIoT achieve effective merging. scheme designed based on stream multiplexing mechanism of Quick UDP Internet Connection (QUIC) protocol. With payload sent...

Artificial Intelligence-Generated Content (AIGC) is a rapidly evolving field that utilizes advanced AI algorithms to generate content. Through integration with mobile edge networks, AIGC networks have gained significant attention, which can provide real-time customized and personalized services products. Since blockchains facilitate decentralized transparent data management, products be securely managed by blockchain avoid tampering plagiarization. However, the evolution of...