Fog computing is an energy-efficient and cost-effective paradigm to help alleviate the pressure of resource-constrained mobile devices (MDs) running computation-intensive applications. In this article, we investigate joint task partitioning power control problem in a fog network with multiple MDs (FDs), where each MD has complete periodic computation under constraints delay energy consumption. Each can be partitioned into subtasks offloaded FDs according partition strategy transmission...

The growth of smart vehicles and computation-intensive applications poses new challenges in providing reliable efficient vehicular services. Offloading such from to mobile edge cloud servers has been considered as a remedy, although resource limitations coverage constraints the service may still result unsatisfactory performance. Recent studies have shown that exploiting unused resources nearby for application execution can augment computational capabilities owners while alleviating heavy...

Internet of Underwater Things (IoUT) consists numerous sensor nodes distributed in an underwater area for sensing, collecting, processing information, and sending related messages to the data center. However, characteristics environment will bring strict limitations on communication coverage power scarcity IoUT networks. Applying cooperative communications networks can expand range alleviate shortages. In this article, we investigate problem a power-limited system propose reinforcement...

The 5G Internet of Vehicles has become a new paradigm alongside the growing popularity and variety computation-intensive applications with high requirements for computational resources analysis capabilities. Existing network architectures resource management mechanisms may not sufficiently guarantee satisfactory Quality Experience efficiency, mainly suffering from coverage limitation road side units, unsatisfactory capabilities onboard equipment, frequently changing topologies, ineffective...

With the growing popularity of fifth-generation (5G) wireless systems and cloud-enabled Internet Vehicles, vehicular cloud has been introduced as a novel mobile device computing mode, which enables vehicles to offload their computation-intensive tasks neighbors. In this paper, we first present 5G scenario where terminal works either service provider with idle computation resources or requestor who task that can be executed locally offloaded nearby providers via opportunistic...

Vehicular cloud (VC) platforms integrate heterogeneous and distributed resources of moving vehicles to offer timely cost-effective computing services. However, the dynamic nature VCs (i.e., limited contact duration among vehicles), caused by vehicles' mobility, poses unique challenges execution computation-intensive applications/tasks with a directed acyclic graph (DAG) structure, where each task consists multiple interdependent components (subtasks). In this paper, we study scheduling DAG...

Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks over vehicles. Such often represented as Directed Acyclic Graphs (DAGs) consisting interdependent vertices/subtasks and directed edges. However, efficient scheduling DAG VCs presents significant challenges, mainly due to the dynamic service provisioning vehicles within non-Euclidean representation tasks' topologies. In this paper, we propose a Graph neural network-Augmented Deep Reinforcement Learning...

Lyapunov optimization theory has recently emerged as a powerful mathematical framework for solving complex stochastic problems by transforming long-term objectives into sequence of real-time short-term decisions while ensuring system stability. This is particularly valuable in unmanned aerial vehicle (UAV)-based low-altitude economy (LAE) networking scenarios, where it could effectively address inherent challenges dynamic network conditions, multiple objectives, and stability requirements....

Integrated Sensing, Communication, and Computation (ISCC) has become a key technology driving the development of Internet Vehicles (IoV) by enabling real-time environmental sensing, low-latency communication, collaborative computing. However, increasing sensing data within IoV leads to demands fast transmission in context limited communication resources. To address this issue, we propose Collaborative Sensing-Aware Task Offloading (CSTO) mechanism for ISCC reduce tasks delay. We formulate...

The $3$-element additively idempotent semiring $S_7$ is a nonnitely based algebra of the smallest possible order. In this paper we study nite basis problem for some semirings that relate to $S_7$. We present su cient condition under which an variety and as applications, show varieties contain are also based. then consider subdirectly irreducible members $\mathsf{V}(S_7)$ generated by contains exactly $6$ finitely subvarieties, all sit at base subvariety lattice, invoke results from...

ABSTRACT A damped outrigger with a new type of rhombic amplification device was proposed. series dynamic tests and finite element analyses were performed to verify the feasibility in amplifying energy dissipation capability. The capacity damper investigated across various loading frequencies amplitudes, comparing damage two types outriggers. Additionally, trend factor for damping force displacement analyzed. test results showed that can effectively increase displacement. Meanwhile, both...

Due to the lack of resources in low spectrum, long term evolution (LTE) unlicensed spectrum (LTE-U) technology has been proposed extend LTE spectrum. LTE-U undertakes task streaming data traffic for licensed which can greatly enhance capacity system. However, introduction also gives rise problem coexistence with Wi-Fi systems. In this paper, an and algorithm is multi-channel scenarios based on Q-learning. By taking idea alternately transferring Wi-Fi, takes into account both fairness...

Mobile edge computing (MEC) has emerged as one of the key technical aspects fifth-generation (5G) networks. The integration MEC with resource-constrained unmanned aerial vehicles (UAVs) greatly enables flexible resource provisioning for supporting dynamic and computation-intensive UAV applications. Existing trading could facilitate this paradigm proper incentives, which, however, may often incur unexpected negotiation latency energy consumption, failures unfair pricing, due to unpredictable...

The arrival of big data and the Internet Things (IoT) era greatly promotes innovative in-network computing techniques, where edge-cloud continuum becomes a feasible paradigm in handling multi-dimensional resources such as computing, storage, communication. In this article, an energy constrained unmanned aerial vehicle (UAV)-aided mobile framework is introduced, offloaded tasks from ground IoT devices can be cooperatively executed by UAVs acts edge server cloud connected to base station...

Small cells are beneficial for both users and operators to improve communication quality. The femtocell is one type of small cell used indoor coverage. Enterprise installation inevitably produces intralayer interlayer interference management issues. optimization propagation modeling built in this work based on the communications environment characteristics. Q-learning-based distributed hybrid power control strategies then proposed. throughput, energy efficiency, user experience satisfaction...

Maritime communication has been considered as a core issue in the marine activities. However, insufficient knowledge of radio channel characteristics over sea limits development wide-band wireless systems for maritime applications. In order to increase understanding sea, modeling between UAV and vessels is studied. this work, channel-modeling effort using finite-difference time domain method (FDTD) conducted assess effects surface conditions on communications. Data analysis receiving...

Marine wireless channel modeling is significant to construct a maritime communication system. Three dimensional contour data of Diaoyu Islands collected and analyzed. Then three scene combined with sea surface rebuilt through Matlab. Ray tracing based on angle searching the deterministic are used model channels main scenes by air platforms(Unmanned Aerial Vehicle (UAV) or hot-air balloons) which carrying transceivers. A simulation considering relevant parameters like path loss, time delay...

Vehicular cloud computing has been emerged as a promising solution to fulfill users' demands on processing computation-intensive applications in modern driving environments. Such are commonly represented by graphs consisting of components and edges. However, encouraging vehicles share resources poses significant challenges owing selfishness. In this paper, an auction-based graph job allocation problem is studied vehicular cloud-assisted networks considering resource reutilization. Our goal...

This article investigates vehicular cloud (VC)-assisted task scheduling in an air-ground integrated network (AGVN), where tasks carried by unmanned aerial vehicles (UAVs) and resources of VCs are both modeled as graph structures. We consider a scenario which resource-limited UAVs carry set computation-intensive tasks, offloaded to resource-abundant for processing. formulate optimization problem jointly optimize the mapping between components vehicles, transmission powers UAVs, while...

Ultra dense network (UDN) technology will certainly be the key to future development of fifth Generation (5G) mobile communication. In order improve spectral efficiency and coordinate downlink interference for UDN, a coloring-based cluster resource allocation (CCRA) algorithm based on graph theory is proposed simulated in article. this paper, large-scale phantom considered which can largely separate control-plane user-plane. It effective utilize macro eNodeBs control allocate resources...

Recently, research intergrading medicine and Artificial Intelligence has attracted extensive attention. Mobile health emerged as a promising paradigm for improving people's work life in the future. However, high mobility of mobile devices limited resources pose challenges users to deal with applications that require large amount computational resources. In this paper, novel computation offloading mechanism is proposed environments combining Internet Vehicles Multi-Access Edge Computing....