scholarly journals UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review

Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 148
Author(s):  
Yassine Yazid ◽  
Imad Ez-Zazi ◽  
Antonio Guerrero-González ◽  
Ahmed El Oualkadi ◽  
Mounir Arioua

Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT applications. The growing number of networked IoT devices generates a large amount of data. However, processing and memorizing this massive volume of data at local nodes have been deemed critical challenges, especially when using artificial intelligence (AI) systems to extract and exploit valuable information. In this context, mobile edge computing (MEC) has emerged as a way to bring cloud computing (CC) processes within reach of users, to address computation-intensive offloading and latency issues. This paper provides a comprehensive review of the most relevant research works related to UAV technology applications in terms of enabled or assisted MEC architectures. It details the utility of UAV-enabled MEC architecture regarding emerging IoT applications and the role of both deep learning (DL) and machine learning (ML) in meeting various limitations related to latency, task offloading, energy demand, and security. Furthermore, throughout this article, the reader gains an insight into the future of UAV-enabled MEC, the advantages and the critical challenges to be tackled when using AI.

2022 ◽  
Vol 18 (2) ◽  
pp. 1-25
Author(s):  
Jing Li ◽  
Weifa Liang ◽  
Zichuan Xu ◽  
Xiaohua Jia ◽  
Wanlei Zhou

We are embracing an era of Internet of Things (IoT). The latency brought by unstable wireless networks caused by limited resources of IoT devices seriously impacts the quality of services of users, particularly the service delay they experienced. Mobile Edge Computing (MEC) technology provides promising solutions to delay-sensitive IoT applications, where cloudlets (edge servers) are co-located with wireless access points in the proximity of IoT devices. The service response latency for IoT applications can be significantly shortened due to that their data processing can be performed in a local MEC network. Meanwhile, most IoT applications usually impose Service Function Chain (SFC) enforcement on their data transmission, where each data packet from its source gateway of an IoT device to the destination (a cloudlet) of the IoT application must pass through each Virtual Network Function (VNF) in the SFC in an MEC network. However, little attention has been paid on such a service provisioning of multi-source IoT applications in an MEC network with SFC enforcement. In this article, we study service provisioning in an MEC network for multi-source IoT applications with SFC requirements and aiming at minimizing the cost of such service provisioning, where each IoT application has multiple data streams from different sources to be uploaded to a location (cloudlet) in the MEC network for aggregation, processing, and storage purposes. To this end, we first formulate two novel optimization problems: the cost minimization problem of service provisioning for a single multi-source IoT application, and the service provisioning problem for a set of multi-source IoT applications, respectively, and show that both problems are NP-hard. Second, we propose a service provisioning framework in the MEC network for multi-source IoT applications that consists of uploading stream data from multiple sources of the IoT application to the MEC network, data stream aggregation and routing through the VNF instance placement and sharing, and workload balancing among cloudlets. Third, we devise an efficient algorithm for the cost minimization problem built upon the proposed service provisioning framework, and further extend the solution for the service provisioning problem of a set of multi-source IoT applications. We finally evaluate the performance of the proposed algorithms through experimental simulations. Simulation results demonstrate that the proposed algorithms are promising.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4798
Author(s):  
Fangni Chen ◽  
Anding Wang ◽  
Yu Zhang ◽  
Zhengwei Ni ◽  
Jingyu Hua

With the increasing deployment of IoT devices and applications, a large number of devices that can sense and monitor the environment in IoT network are needed. This trend also brings great challenges, such as data explosion and energy insufficiency. This paper proposes a system that integrates mobile edge computing (MEC) technology and simultaneous wireless information and power transfer (SWIPT) technology to improve the service supply capability of WSN-assisted IoT applications. A novel optimization problem is formulated to minimize the total system energy consumption under the constraints of data transmission rate and transmitting power requirements by jointly considering power allocation, CPU frequency, offloading weight factor and energy harvest weight factor. Since the problem is non-convex, we propose a novel alternate group iteration optimization (AGIO) algorithm, which decomposes the original problem into three subproblems, and alternately optimizes each subproblem using the group interior point iterative algorithm. Numerical simulations validate that the energy consumption of our proposed design is much lower than the two benchmark algorithms. The relationship between system variables and energy consumption of the system is also discussed.


2013 ◽  
Author(s):  
◽  
Raksha Padaruth

This paper documents and evaluates the use of ceramics as an aesthetic architectural element in Durban from 1914-2012 with special reference to James Hall (1916-2006), Andrew Walford (b.1942) and Jane du Rand (b.1969). These artists were selected because their work demonstrates a wide range of the use of decorative tiles and mosaics as aesthetic elements in Durban architecture over a period of more than fifty years. Reference is made to the historical use of tiles and mosaics as aesthetic architectural elements in Durban from 1914-1955 in order to provide a context to an investigation and evaluation of the contribution of Hall, Walford and du Rand to the use of tiles and mosaics as an aesthetic architectural element in Durban. The paper begins by highlighting the importance of this study, discusses the role of ceramic architectural adornment and defines terminology for the purpose of this research. In addition an explanation of the research methodology used, research questions and literature review is provided. The study is contextualised through an overview of the historical background of the use of ceramics (tiles and mosaics) as an aesthetic element in architecture. The importance of the use of ceramic elements in relation to architecture, as well as the different techniques and methods of production, are highlighted and related to contemporary practice. The overview provides insight into how the use of ceramic elements in the past has influenced the approach of contemporary practice. My contribution to the use of mosaics as an aesthetic architectural element in Durban and my art practice, in the form of an installation titled passage is discussed and evaluated. The paper concludes by noting that the historical use of tiles and mosaics as aesthetic elements in architecture persists in contemporary art practice. However, the methods of tiled mosaic production and tiled mosaic techniques have been revolutionised extensively. It is evident that, the use of ceramics as an aesthetic element in Durban architecture reflects, both a strong European design influence and a distinctive local identity.


Author(s):  
Robert Bogue

Purpose This paper aims to illustrate the growing role robots are playing in recycling and product disassembly and provide an insight into recent research activities. Design/methodology/approach Following a short introduction, this first considers robotic waste sorting systems and then describes two systems for the disassembly of electronic products. It then provides details of some recent research activities. Finally, brief conclusions are drawn. Findings Robotic systems exploiting artificial intelligence combined with various sensing and machine vision technologies are playing a growing role in the sorting of municipal and industrial waste, prior to recycling. These are mostly based on delta robots and can achieve pick rates of 60-70 items/min and be configured to recognise and select a wide range of different materials and items from moving conveyors. Electronic waste recycling is yet to benefit significantly from robotics although a limited number of systems have been developed for product disassembly. Disassembly techniques are the topic of a concerted research effort which often involves robots and humans collaborating and sharing disassembly tasks. Originality/value This provides an insight into the present-day uses and potential future role of robots in recycling which has traditionally been a highly labour-intensive industry.


2007 ◽  
Vol 282 (49) ◽  
pp. 35530-35535 ◽  
Author(s):  
Christopher J. Millard ◽  
Ian R. Ellis ◽  
Andrew R. Pickford ◽  
Ana M. Schor ◽  
Seth L. Schor ◽  
...  

The motogenic activity of migration-stimulating factor, a truncated isoform of fibronectin (FN), has been attributed to the IGD motifs present in its FN type 1 modules. The structure-function relationship of various recombinant IGD-containing FN fragments is now investigated. Their structure is assessed by solution state NMR and their motogenic ability tested on fibroblasts. Even conservative mutations in the IGD motif are inactive or have severely reduced potency, while the structure remains essentially the same. A fragment with two IGD motifs is 100 times more active than a fragment with one and up to 106 times more than synthetic tetrapeptides. The wide range of potency in different contexts is discussed in terms of cryptic FN sites and cooperativity. These results give new insight into the stimulation of fibroblast migration by IGD motifs in FN.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Austin L. Oder ◽  
David L. Stalling ◽  
Steven M. Barlow

The dense representation of trigeminal mechanosensitive afferents in the lip vermilion, anterior tongue, intraoral mucosa, and temporomandibular joint allows the infant’s orofacial system to encode a wide range of somatosensory experiences during the critical period associated with feed development. Our understanding of how this complex sensorium processes texture is very limited in adults, and the putative role of texture encoding in the infant is unknown. The purpose of this study was to examine the short-term effects of a novel textured pacifier experience in healthy term infants (N=28). Nonnutritive suck (NNS) compression pressure waveforms were digitized in real time using a variety of custom-molded textured pacifiers varying in spatial array density of touch domes. MANCOVA, adjusted for postmenstrual age at test and sex, revealed that infants exhibited an increase in NNS burst attempts at the expense of a degraded suck burst structure with the textured pacifiers, suggesting that the suck central pattern generator (sCPG) is significantly disrupted and reorganized by this novel orocutaneous experience. The current findings provide new insight into oromotor control as a function of the oral somatosensory environment in neurotypically developing infants.


2014 ◽  
Vol 11 (1) ◽  
pp. 13-28 ◽  
Author(s):  
Lee Parker

Purpose – This paper aims to offer an insight into the emergent qualitative methodological profile and its distinctive contribution to accounting and management scholarship, particularly reflecting upon the contribution of Qualitative Research in Accounting & Management (QRAM). Design/methodology/approach – It examines the range of qualitative methodologies employed in the research published across the ten years of QRAM and analyses the methodological discourse and its contribution to the armoury available to qualitative researchers. In association with these methodological developments, the paper offers a critique of the articulated role of theory in contemporary accounting and management qualitative research. Findings – A wide range of qualitative methodologies are found to be in evidence, with considerable scope for further adoption and development of some. Methodological exposition papers are found to be a significant contribution in the past decade and include methodological framework building, methodological applications, methodological critiques, and methodological development exemplars. Alongside methodology, the dual role of theory as either informing or reflecting methodology is presented. Originality/value – The paper provides a critical analysis and consideration of qualitative methodological literature development in the last ten years of accounting and management research literature, particularly reflected in QRAM. It identifies dominant methodologies in use, as well as opportunities for expanding the methodological menu in accounting and management research. Furthermore, it classifies groups of methodological papers and their contributing perspectives, as well as addressing the often-vexed relationship between theory and methodology.


Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3047
Author(s):  
Kolade Olorunnife ◽  
Kevin Lee ◽  
Jonathan Kua

Recent years have seen the rapid adoption of Internet of Things (IoT) technologies, where billions of physical devices are interconnected to provide data sensing, computing and actuating capabilities. IoT-based systems have been extensively deployed across various sectors, such as smart homes, smart cities, smart transport, smart logistics and so forth. Newer paradigms such as edge computing are developed to facilitate computation and data intelligence to be performed closer to IoT devices, hence reducing latency for time-sensitive tasks. However, IoT applications are increasingly being deployed in remote and difficult to reach areas for edge computing scenarios. These deployment locations make upgrading application and dealing with software failures difficult. IoT applications are also increasingly being deployed as containers which offer increased remote management ability but are more complex to configure. This paper proposes an approach for effectively managing, updating and re-configuring container-based IoT software as efficiently, scalably and reliably as possible with minimal downtime upon the detection of software failures. The approach is evaluated using docker container-based IoT application deployments in an edge computing scenario.


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