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Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Rabeea Basir, Saad Qaisar, Mudassar Ali, Monther Aldwairi, Muhammad Ikram Ashraf, Aamir Mahmood, Mikael Gidlund
2019 Sensors  
Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture  ...  Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0.  ...  This big data is giving rise to edge computing for future. Edge computing is also called Mobile Edge Computing (MEC).  ... 
doi:10.3390/s19214807 pmid:31694254 pmcid:PMC6864669 fatcat:xdiwmkpkkrheni4chxi7kbuc6m

Multimedia Internet of Things: A Comprehensive Survey

Ali Nauman, Yazdan Ahmad Qadri, Muhammad Amjad, Yousaf Bin Zikria, Muhammad Khalil Afzal, Sung Won Kim
2020 IEEE Access  
, Fog/Edge computing and Software-Defined-Networks (SDNs).  ...  IoT devices are constrained in terms of energy, computing, size, and storage memory.  ...  [227] proposed Software-Defined Mobile Edge Computing (SD-MEC) architecture to reduce latency and bandwidth by combining the features of both SDN and edge computing.  ... 
doi:10.1109/access.2020.2964280 fatcat:ilihkpik65bdvblyal6rp7tb2y

Convergence of Information-Centric Networks and Edge Intelligence for IoV: Challenges and Future Directions

Salahadin Seid Musa, Marco Zennaro, Mulugeta Libsie, Ermanno Pietrosemoli
2022 Future Internet  
In particular, we focus on intelligent edge computing and networking, offloading, intelligent mobility-aware caching and forwarding and overall network performance.  ...  The realization of IoV networks faces various communication and networking challenges to meet stringent requirements of low latency, dynamic topology, high data-rate connectivity, resource allocation,  ...  Computing and Cloudlets Features Cloud Computing Fog Computing Mobile Edge Computing Cloudlets Latency High Low Low Low Node devices Servers Routers, switches, AP, . . .  ... 
doi:10.3390/fi14070192 fatcat:knlyn5uaurarlhq7a5p66rwrgi

[Invited Paper] Overview of Multimedia Mobile Edge Computing

Kenji Kanai, Kentaro Imagane, Jiro Katto
2018 ITE Transactions on Media Technology and Applications  
Recently, to cover a larger region, and to provide lowlatency connectivity and resourceful computing, Mobile Abstract Recently, to provide a low-latency mobile computing platform, Mobile Edge Computing  ...  longer latency for data exchange between the cloud and end devices.  ...  The edge server provides its own computing resource to the MEC subscribers to provide low latency computing for latencysensitive applications, such as AR, VR and autonomous cars.  ... 
doi:10.3169/mta.6.46 fatcat:ppbijaho5rbdfeckcwethvptbq

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir
The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which brings the cloud computing services to the proximityof the edge network and leverages the available resources.  ...  However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging.  ...  However, it has compromised energy consumption for the higher data traffic. 2) EATO An energy aware task offloading (EATO) mechanism in multiuser mobile-edge cloud computing is proposed in [99] , in  ... 
doi:10.6084/m9.figshare.13147607.v1 fatcat:ni77edahzfhifgqtl22o565ygi

Multi-access edge computing enabled internet of things: advances and novel applications

Rongbo Zhu, Lu Liu, Houbing Song, Maode Ma
2020 Neural computing & applications (Print)  
emerged with a significance to change our life, and also is raising the challenging research issues due to the requirements of low latency, deployment independence, location awareness and mobility support  ...  models, resource allocation and scheduling, power efficient data processing and cooperative decisionmaking mechanisms in edge.  ...  John MacIntyre, for giving us this great opportunity, and the members of the Editorial Staff for their support during the process.  ... 
doi:10.1007/s00521-020-05267-x fatcat:wfrqu2a6offdrh2qzitsxclv7u

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir, Beatriz Sainz-De-Abajo, Anwar Khan, Begona Garcia-Zapirain, Isabel De La Torre-Diez, Hasan Mahmood
2020 IEEE Access  
optimal algorithm 2017 [99] MECH Mobile devices, as servers, receive and process the data from the client Low energy consumption and low delay Poor scalability for few users 2017 [100]  ...  However, it has compromised energy consumption for the higher data traffic. 2) EATO An energy aware task offloading (EATO) mechanism in multiuser mobile-edge cloud computing is proposed in [105] , in  ... 
doi:10.1109/access.2020.3026938 fatcat:rfboh327g5flnn3a6ueq5tv44q

FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments [article]

Paola G. Vinueza Naranjo, Zahra Pooranian, Mohammad Shojafar, Mauro Conti, Rajkumar Buyya
2017 arXiv   pre-print
stations) to provide resource augmentation (e.g., cyberforaging) for resource and energy-limited wired/wireless (possibly mobile) things.  ...  , route, and communicate with one another through the smart city environment to decrease latency and improve energy provisioning and the efficiency of services among things with different capabilities.  ...  of the Internet to meet the requirements of scalability, energy awareness, and low latency, we have designed a framework called FOCAN for managing things' applications.  ... 
arXiv:1710.01801v1 fatcat:xws5cmdu3bdf5evtrw5irhdaxu

Guest Editorial: Introduction to the Special Section on Intelligence-Empowered Collaboration Among Space, Air, Ground, and Sea Mobile Networks Towards B5G

Liang Zhao, Neeraj Kumar, Celimuge Wu, Jia Hu, Ahmed Al-Dubai
2021 IEEE Transactions on Network Science and Engineering  
In this special section, Deb et al. in "XiA: Send-it-Anyway Q-Routing for 6G-Enabled UAV-LEO Communications" propose Q-Learningbased routing algorithm, namely, XiA, by involving UAVs to send the data to  ...  ground vehicles or access points via Low Earth Orbit (LEO).  ...  Wang et al. in "Intelligent Ubiquitous Network Accessibility for Wireless-Powered MEC in UAV-Assisted B5G" deploy the UAVs as mobile edge computing servers to provide task offloading and energy harvesting  ... 
doi:10.1109/tnse.2021.3109386 fatcat:d2c2cal2wvhl7mbvbvcxndpbha

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Shuo Wang, Xing Zhang, Yan Zhang, Lin Wang, Juwo YANG, Wenbo Wang
2017 IEEE Access  
Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks.  ...  Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper.  ... 
doi:10.1109/access.2017.2685434 fatcat:omhcphk735czrnmjnwkoory6hq

Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review [article]

Shreya Ghosh, Soumya Ghosh
2020 arXiv   pre-print
While cloud paradigm is suitable for the capability of storage and computation, the major bottleneck is network connectivity loss.  ...  Therefore, this chapter discusses the concerns and challenges associated with mobility-driven cloud-fog-edge based framework to provide several location-aware services to the end-users efficiently.  ...  [12] minimizes the computation and communication latency by task distribution. A low-latency Fog network has been presented in [32] for better latency management.  ... 
arXiv:2007.04193v1 fatcat:ghxpcgofpraxfhosirzfa7bzhi

Secured Big Data Analytics for Decision-Oriented Medical System Using Internet of Things

Amjad Rehman, Khalid Haseeb, Tanzila Saba, Jaime Lloret, Usman Tariq
2021 Electronics  
The medical devices are attached to patients' bodies and connected with a cloud computing system for obtaining and analyzing healthcare data.  ...  Therefore, this paper presents a model for the Secured Big Data analytics using Edge–Cloud architecture (SBD-EC), which aims to provide distributed and timely computation of a decision-oriented medical  ...  ., energy consumption, bi-directional distance, and link latency parameters for data routing.  ... 
doi:10.3390/electronics10111273 fatcat:3cpqurtelrf2bd67fef7hxqeiq

Medical sensors and their integration in Wireless Body Area Networks for Pervasive Healthcare Delivery: A Review

Shumaila Javaid, Sherali Zeadally, Hamza Fahim, Bin He
2022 IEEE Sensors Journal  
and paradigms that include edge, Mobile Cloud Computing (MCC), fog, and cloud computing technologies.  ...  The review also discusses the role of Internet of Things (IoT) technology in enhancing the capabilities of sensor technologies for the healthcare domain.  ...  Filters the collected data with low latency. High processing and storage complexity 2. High bandwidth consumption Edge computing architectures [150] 1.  ... 
doi:10.1109/jsen.2022.3141064 fatcat:r57bscyehbey5eg5zrjm3nluku

Artificial intelligence for edge service optimization in Internet of Vehicles: A survey

Xiaolong Xu, Haoyuan Li, Weijie Xu, Zhongjian Liu, Liang Yao, Fei Dai
2022 Tsinghua Science and Technology  
Secondly, we review the edge service frameworks for IoV and explore the use of AI in edge server placement and service offloading.  ...  Edge Computing (EC) that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.  ...  In Ref. [81], the authors studied the energy consumption in offloading processes and built a model for visual analysis based on queue theory.  ... 
doi:10.26599/tst.2020.9010025 fatcat:zgakvppxojawjb7cto4tu6237u

5G-based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research Directions

Abdul Ahad, Mohammad Tahir, Kok-Lim Alvin Yau
2019 IEEE Access  
Further use cases such as remote surgeries and Tactile Internet will spur the need for Ultra Reliability and Low Latency Communications or Critical Machine Type Communication.  ...  density, and high energy efficiency.  ...  REQUIREMENTS FOR SMART HEALTHCARE R.1 Ultra-low latency: Ultra-low latency defines network, which is optimized to process huge amount of data packet with a very low tolerance for delay (latency) [38]  ... 
doi:10.1109/access.2019.2930628 fatcat:2ixvlhhbn5e5vc5kblodjp6ysy
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