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IEEE Access Special Section Editorial: Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things
2020
IEEE Access
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In the article ''A mobile cloud based scheduling strategy for industrial internet of things,'' by Tang et al., the authors proposed a technical solution for task offloading in the context of mobile cloud ...
big data in IIoT • Experimental implementation of the convergence of sensor networks, cloud computing, and big data in IIoT. ...
His current H-index is 56 and i10-index is 214 in Google Scholar Citations. His current research interests include wireless sensor networks and the Internet of Things. ...
doi:10.1109/access.2020.3037614
fatcat:h27mydy5anggroyhsf5wipre6m
D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large Scale Mobile Networks
[article]
2018
arXiv
pre-print
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In this article, driven by emerging Big Data techniques, we propose to design a big data platform, named D2D Big Data, in order to encourage the wireless D2D communications among users effectively, to ...
Finally, we discuss challenges and opportunities regarding D2D Big Data and propose to unveil a promising upcoming future of wireless D2D communications. ...
collaboration of D2D Big Data with MNOs' wireless systems, industrial vendors, content service providers, and governments' copyright policies. ...
arXiv:1802.00893v1
fatcat:ffuws3nygzhcdcuyhmw2ueikzy
EARTH — Energy Aware Radio and Network Technologies
2009
2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications
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A power efficient transceiver will be developed that adapts to changing traffic load for an energy efficient operation in mobile radio systems. ...
Index Termsenergy efficiency, mobile communication networks, radio access, small cells, energy aware management, load adaptivity, EARTH ...
With the increasing wireless data rates and the rollout of additional base stations for next generation mobile networks the energy consumption of the network infrastructure is expected to rise even stronger ...
doi:10.1109/pimrc.2009.5449938
dblp:conf/pimrc/GruberBFZIS09
fatcat:rwicj2cw7rdzvaufmm5g6bezsy
Content-Centric Collaborative Edge Caching in 5G Mobile Internet
2018
IEEE wireless communications
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big data from network interfaces for data mining. ...
Another two articles that exploit machine learning or big data for further optimizing the caching policy are given below. ...
doi:10.1109/mwc.2018.8403945
fatcat:yc73ggnghnfe7h4ozsak2zgncu
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
2017
IEEE Access
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2017 pre-print arXiv:1703.10750v1 fatcat:62h3zhi5tre25hej4qa3gf6eeq
In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks. ...
Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks. ...
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
Guest Editorial: Industrial Cyber–Physical Systems—New Trends in Computing and Communications
2021
IEEE Transactions on Industrial Informatics
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Both simulation and experimental evaluation approaches are used to verify the effectiveness of the proposed strategy, and the improvement of response time and load balancing is demonstrated.
C. ...
denoising autoencoder, SDAE) can be used to select the links to be used in a wireless mesh network connecting mobile devices and edge servers in a smart production line. ...
His research interests include wireless and wired real-time industrial communications, industrial Internet-of-Things, and intelligent industrial systems. Dr. ...
doi:10.1109/tii.2020.3033818
fatcat:d6mi5ycnpnhttkvmfbe75ejrdy
Big Data Analytics, Machine Learning and Artificial Intelligence in Next-Generation Wireless Networks
[article]
2018
arXiv
pre-print
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In view of this, we consider a data-driven next-generation wireless network model, where the MNOs employ advanced data analytics for their networks. ...
Systematic exploitation of the big data greatly helps in making the network smart, intelligent and facilitates cost-effective operation and optimization. ...
The first author would like to thank Monica Paolini from Senza Fili Consulting for the insightful comments. ...
arXiv:1711.10089v3
fatcat:3gvbkm7vr5aehgr7iupbsn4hum
Cloud-based Data-intensive Framework towards fault diagnosis in large-scale petrochemical plants
2016
2016 International Wireless Communications and Mobile Computing Conference (IWCMC)
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Industrial Wireless Sensor Networks (IWSNs) are expected to offer promising monitoring solutions to meet the demands of monitoring applications for fault diagnosis in largescale petrochemical plants, however ...
In this paper, we propose a Cloud-based Data-intensive Framework (CDF) for on-line equipment fault diagnosis system that facilitates the integration and processing of mass sensor data generated from Industrial ...
Load Balancer (LB) keeps balanced processing services of load and orders for new requests applying appropriate routing and caching approaches. ...
doi:10.1109/iwcmc.2016.7577209
dblp:conf/iwcmc/HuoMSCZ16
fatcat:3ujxzy5lczeg7cg466heawed5q
IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing
2020
IEEE Access
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The article ''A reliable hybrid routing strategy for durability monitoring of concrete structures in wireless sensor networks,'' by Hu and Li, focuses on the problem of multiobjective data transmission ...
The authors first propose a single cluster head rotation joint mobile vehicle data collection (SCHR) scheme to balance in-network energy consumption. ...
doi:10.1109/access.2020.3040051
fatcat:kgd4vkzh6bei5c6ckjdxmfygh4
Greening emerging IT technologies: techniques and practices
2017
Journal of Internet Services and Applications
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"Green Computing" paradigm advocates the energy-proportional and efficient usage of computing resources in all emerging technologies, such as Big Data and Internet of Things (IoT). ...
The tremendous increase in global industrial activity has resulted in high utilization of natural energy resources and increase in global warming over the last few decades. ...
Acknowledgements The authors thank the anonymous reviewers for helpful comments that increased the quality of the article. ...
doi:10.1186/s13174-017-0060-5
fatcat:q7y7e4ypojconoajznoii3ngna
Big Data Strategy For Telco: Network Transformation
2014
Zenodo
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The benefits of Big Data and next-generation network, however, are more exorbitant than improved customer relationship management. ...
Analytics and marketing models of fixed and mobile operators are falling short in combating churn and declining revenue per user. ...
An example of such an end-to-end network service can include a smart phone, a wireless network, a firewall, a load balancer and a set of CDN servers. ...
doi:10.5281/zenodo.1337009
fatcat:hajq577myrcevlafydx7lvfbbe
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
2020
IEEE Access
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Internet, AR/VR, and big data) in the 5G and beyond network. ...
Combination of transfer learning and DRL to exploit knowledge from other domains, e.g., content distribution in mobile social networks can be used to learn caching strategies in D2D. ...
doi:10.1109/access.2020.3001277
fatcat:isme7xwfejf4pfnowosljxnzja
A Survey of Green Mobile Networks: Opportunities and Challenges
2011
Journal on spesial topics in mobile networks and applications
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In this paper, we survey and discuss various remarkable techniques toward green mobile networks, to mainly targeting mobile cellular networks. ...
We finally discuss and elaborate future research opportunities and design challenges for green mobile networks. ...
In particular, 57% of the energy consumption of the ICT industry is attributed to users and network devices in mobile and wireless networks [6] , the scale of which is still growing explosively [3] . ...
doi:10.1007/s11036-011-0316-4
fatcat:zp2m757pf5hixe7wce7vnyfav4
Realizing 5G vision through Cloud RAN: technologies, challenges, and trends
2018
EURASIP Journal on Wireless Communications and Networking
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While SDN technology brings the separation of the control and data planes in the playground, supporting thus advanced traffic engineering techniques such as load balancing, the NFV concept offers high ...
In addition, C-RAN introduces a new layer in the mobile network, denoted as the fronthaul, which is adopted from the recent research efforts in the fiber-wireless (Fi-Wi) paradigm. ...
Acknowledgments The authors thank the anonymous reviewers for their valuable comments and suggestions.
Authors' contributions All authors have equally contributed to the manuscript preparation. ...
doi:10.1186/s13638-018-1142-1
fatcat:pt5ozuf7dfhv5aclj55traf3mm
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
[article]
2020
arXiv
pre-print
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The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities. ...
Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to ...
Internet, AR/VR, and big data) in the 5G and beyond network. ...
arXiv:1906.08452v2
fatcat:krti5kagxzeqte7osdpxs4lxoe
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