Fog computing system is an emergent architecture for providing computing, storage, control, and networking capabilities realizing Internet of Things. In the fog system, mobile devices (MDs) can offload its data or computational expensive tasks to node within proximity, instead distant cloud. Although offloading reduce energy consumption at MDs, it may also incur a larger execution delay including transmission time between MDs fog/cloud servers, waiting servers. Therefore, how balance...

Abstract We present a new de novo transcriptome assembler, Bridger, which takes advantage of techniques employed in Cufflinks to overcome limitations the existing assemblers. When tested on dog, human, and mouse RNA-seq data, Bridger assembled more full-length reference transcripts while reporting considerably fewer candidate transcripts, hence greatly reducing false positive comparison with state-of-the-art It runs substantially faster requires much less memory space than most More...

The unprecedented growth of wireless data traffic not only challenges the design and evolution network architecture, but also brings about profound opportunities to drive improve future networks. Meanwhile, communications computing technologies can make edge, such as BSs or UEs, become intelligent rich in terms capabilities, which intuitively enables big analytics at edge. In this article, we propose explore advance edge caching capability, is considered a promising approach efficiency...

In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can achieve opportunistic energy saving by offloading energy-hungry workloads to edge computing nodes via vehicle-to-infrastructure links. However, how determine the optimal portion of workload be offloaded based on dynamic states consumption and latency in local computing, data transmission, execution handover, is still an open issue. this paper, we study energy-efficient problem propose a low-complexity...

The current cloud-based Internet-of-Things (IoT) model has revealed great potential in offering storage and computing services to the IoT users. Fog computing, as an emerging paradigm complement cloud platform, been proposed extend role edge of network. With fog service providers can exchange control signals with users for specific task requirements, offload users' delay-sensitive tasks directly widely distributed nodes at network edge, thus improving user experience. So far, most existing...

The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT) systems, which provide ubiquitous sensing and computing services. When adopted in industrial manufacturing environments, IoT is referred to as (IIoT), has attracted increasing research attention. Energy efficiency one most important topics green IIoT, 1) limited resource can significantly affect lifetime IIoT systems 2) massive sensors, devices, machines keep consuming a considerable amount energy, carbon...

Unmanned aerial vehicle (UAV)-based wireless networks have received increasing research interest in recent years and are gradually being utilized various aspects of our society. The growing complexity UAV applications such as disaster management, plant protection, environment monitoring, has resulted escalating stringent requirements for that a single cannot fulfill. To address this, multi-UAV (MUWNs) emerged, offering enhanced resource-carrying capacity enabling collaborative mission...

The IEEE 802.11ac is an emerging very high throughput (VHT) WLAN standard that could achieve PHY data rates of close to 7 Gbps for the 5 GHz band. In this paper, we introduce key mandatory and optional features, as well MAC enhancements over existing 802.11n in evolution towards higher rates. Through numerical analysis simulations, compare performance between three different frame aggregation mechanisms, viz., aggregate service unit (A-MSDU), protocol (A-MPDU), hybrid A-MSDU/A-MPDU...

Fog computing is considered as a promising technology to meet the ever-increasing computation requests from wide variety of mobile applications. By offloading computation-intensive fog node or central cloud, performance applications, such energy consumption and delay, are able be significantly enhanced. Meanwhile, utilizing recent advances social network harvesting (EH) techniques, system could further improved. In this paper, we take relationships EH devices (MDs) into design computational...

Fog computing system is able to facilitate computation-intensive applications and emerges as one of the promising technology for realizing Internet Things (IoT). By offloading computational tasks fog node (FN) at network edge, both service latency energy consumption can be improved, which significant industrial IoT applications. However, dynamics resource usages in FN, radio environment battery devices make mechanism design become challenging. Therefore, this article, we propose a dynamic...

High-throughput RNA-seq technology has provided an unprecedented opportunity to reveal the very complex structures of transcriptomes. However, it is important and highly challenging task assemble vast amounts short reads into transcriptomes with alternative splicing isoforms. In this study, we present a novel de novo assembler, BinPacker, by modeling transcriptome assembly problem as tracking set trajectories items their sizes representing coverage corresponding isoforms solving series...

In this paper, we investigate the energy efficient computation offloading scheme in a multi-user fog computing system. We consider users need to make decision on whether offload tasks node nearby, based consumption and delay constraint. particular, utilize queuing theory bring thorough study execution of process. Two models are applied respectively model processes at mobile device (MD) node. Based theoretical analysis, an optimization problem is formulated with objective minimize subjects...

Ultra-dense networks (UDNs) provide an effective solution to accommodate the explosively growing data traffic of multimedia services and real-time applications. However, densification large numbers static small cells faces many fundamental challenges, including deployment cost, energy consumption control, so on. This motivates us develop software-defined space-air-ground integrated moving (SAGECELL), a programmable, scalable, flexible framework integrate space, air, ground resources for...

Vehicular communications essentially support automotive applications for safety and infotainment. For this reason, industry leaders envision an enhanced role vehicular in the fifth generation of mobile technology. Over years, number vehicle- mounted sensors has increased steadily, which potentially leads to more volume critical data a short time. Also, emerging such as remote/autonomous driving infotainment high-definition movie streaming require data-rates on order multiple Gb/s. Such high...

Mobile Edge Computing (MEC) is an important and effective platform to offload the computational services of modern mobile applications, has gained tremendous attention from various research communities.For delay resource constrained devices, issues include: 1) minimization service latency; 2) optimal revenue maximization; 3) high quality-of-service (QoS) requirement offloading.To address above issues, adaptive offloading scheme designed provide maximum utilization MEC.Unlike most existing...

Vehicular edge computing is essential to support future emerging multimedia-rich and delay-sensitive applications in vehicular networks. However, the massive deployment of infrastructures induces new problems including energy consumption carbon pollution. This motivates us develop BEGIN (Big data enabled EnerGy-efficient vehIcular computiNg), a programmable, scalable, flexible framework for integrating big analytics with computing. In this article, we first present comprehensive literature...

Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial (iEEG) has attracted widespread attention in recent two decades. The accurate rapid of seizures not only reflects the efficiency algorithm, but also greatly reduces burden manual during long-term (EEG) recording. In this work, a stacked one-dimensional convolutional neural network (1D-CNN) model combined with random selection data augmentation (RS-DA) strategy is proposed for onset detection. Firstly, we...

Backscatter communication is expected to help in revitalizing the domain of healthcare through its myriad applications. From on-body sensors in-body implants and miniature embeddable devices, there are many potential use cases that can leverage low-powered nature backscatter devices. However, existing literature lacks a comprehensive study provides distilled review latest studies on communications from perspective. Thus, with objective promote utility healthcare, this article aims identify...

A new wireless era beckons, giving rise to novel communication techniques support the services and demands foreseen for coming decades. One such revolutionizing technique intended enable Internet of Things (IoT) is backscatter communication. Simply employing may not be enough efficiently connect massive number devices in IoT network. To achieve this feat, non-orthogonal multiple access (NOMA) have been merged with communications. Although NOMA-enabled expected significantly improve...

During the past decade, Industry 4.0 has greatly promoted improvement of industrial productivity by introducing advanced communication and network technologies in manufacturing process. With continuous emergence new networking facilities, especially rapid evolution cellular networks for 5G beyond, requirements smarter, more reliable, efficient services have been raised from 5.0 blueprint. To meet these increasingly challenging requirements, proactive effective allocation resources becomes...

The future mobile communication system is expected to provide ubiquitous connectivity and unprecedented services over billions of devices. unmanned aerial vehicle (UAV), which prominent in its flexibility low cost, emerges as a significant network entity realize such ambitious targets. In this work, novel machine learning-based trajectory design resource allocation schemes are presented for multi-UAV communications system. the considered system, UAVs act Base Stations (BSs) coverage....

It is expected that the future intelligent transportation system will be endowed with sensing ability to cope complex road environment. Therefore, integrated and communications (ISAC) can complement development of transportation. In this work, a novel reconfigurable surface (RIS)-aided ISAC investigated, in which an RIS reflects signals vehicle target user by creating directional path enhance communication performance. We are interested joint robust design transmitted beamformer at...