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Data Analytics in the Internet of Things: A Survey

Tausifa Jan Saleem, Mohammad Ahsan Chishti
2019 Scalable Computing : Practice and Experience  
A comprehensive survey on the identified key enablers including their role in IoT data analytics, use cases in which they have been applied and the corresponding IoT applications for the use cases is presented  ...  Moreover, conventional procedures do not address the surging analytical demands of IoT systems.  ...  [155] proposed a fog based computing scheme known as Mist computing that provides cost-effective resource provisioning for IoT crowd sensing applications.  ... 
doi:10.12694/scpe.v20i4.1562 fatcat:y2fiya3q2bawhdg6hhczfpdbee

Fog Computing for Sustainable Smart Cities: A Survey [article]

Charith Perera, Yongrui Qin, Julio C. Estrella, Stephan Reiff-Marganiec, Athanasios V. Vasilakos
2017 arXiv   pre-print
Based on our review, we further identify several major functionalities that ideal Fog computing platforms should support and a number of open challenges towards implementing them, so as to shed light on  ...  The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities.  ...  ACKNOWLEDGMENTS We acknowledge the financial support of European Research Council Advanced Grant 291652 (ASAP).  ... 
arXiv:1703.07079v1 fatcat:2lwpd2b5izcw3hwg7x6m2vduoq

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, Adel Elmaghraby
2021 Smart Cities  
Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention.  ...  technologies used as well as the Artificial Algorithms deployed in IoT based Smart City systems.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/smartcities4020024 fatcat:bzflvlmudjg5jmamtsrwep4n5i

A Survey on Social-Physical Sensing [article]

Md Tahmid Rashid, Na Wei, Dong Wang
2021 arXiv   pre-print
While a good amount of interesting SPS applications has been explored, several important unsolved challenges and open research questions prevail in the way of developing dependable SPS systems, which require  ...  In this paper, we provide a comprehensive survey of SPS, with an emphasis on its definition and key enablers, state-of-the-art applications, potential research challenges, and road-map for future work.  ...  [94] ; ii) ThingSpeak, an opensource cloud framework for processing, analyzing, storing, and visualizing real-time data from IoT devices [95] ; and iii) Apache Spark, which is an open-source unified  ... 
arXiv:2104.01360v1 fatcat:b6sag5objzhezcfhscb3ctf2ca

Recent developments of the Internet of Things in Agriculture: A Survey

Vippon Preet Kour, Sakshi Arora
2020 IEEE Access  
Hybridization of species along with the real-time monitoring of the farms paved a way for resource optimization.  ...  Based on the concepts of IoT a precision farming framework is also proposed in this article.  ...  [75] , based on the concepts of fog computing and Wi-Fi-based long-distance networks proposed a system for smart monitoring.  ... 
doi:10.1109/access.2020.3009298 fatcat:b7tt3mizaffbrgpaytazftaine

Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey

Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain
2022 IEEE Access  
The survey also introduces a layered and interfacing architecture complete with its E2E solution for the intelligent touch based wireless communication system.  ...  , thus enabling a paradigm shift towards establishing a real time control and steering communication system.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the support provided by 5G and IoT Lab, DoECE, Shri Mata Vaishno Devi University, Katra, Jammu  ... 
doi:10.1109/access.2022.3148473 fatcat:dbzbqyq3efaj7pbfwf4izmju64

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey [article]

Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2021 arXiv   pre-print
After that, we provide a deep literature review for the applications of RL in I-health systems.  ...  Thus, we conduct in this paper a comprehensive survey of the recent models and techniques of RL that have been developed/used for supporting Intelligent-healthcare (I-health) systems.  ...  ACKNOWLEDGMENT This work was made possible by NPRP grant # NPRP12S-0305-190231 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
arXiv:2108.04087v1 fatcat:ifdpiqwunrawbmpfy6ftjk43g4

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks

Eva Rodriguez, Beatriz Otero, Norma Gutierrez, Ramon Canal
2021 IEEE Communications Surveys and Tutorials  
In a nutshell, this paper constitutes the first survey that provides a complete review of the DL methods for cybersecurity.  ...  First, we provide a detailed overview of DL techniques applied, or with potential applications, to cybersecurity. Then, we review cybersecurity works based on DL.  ...  Other surveys focus on specific environments or applications, mainly Android applications, Cloud, IoT-Fog computing, and Cyber-Physical Systems (CPS).  ... 
doi:10.1109/comst.2021.3086296 fatcat:2svylj3y7vfijnynpnoksdl6oa

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
We complete this survey by pinpointing current challenges and open future directions for research.  ...  Upcoming 5G systems are evolving to support exploding mobile traffic volumes, agile management of network resource to maximize user experience, and extraction of fine-grained real-time analytics.  ...  /documentation/coreml Storm is a free and open-source distributed real-time computation system, http://storm.apache.org/ 23 Kafka R is used for building real-time data pipelines and streaming apps  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
We complete this survey by pinpointing current challenges and open future directions for research.  ...  Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience  ...  Mohammadi et al. survey recent deep learning techniques for Internet of Things (IoT) data analytics [68] .  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

Authentication Protocols for Internet of Things: A Comprehensive Survey [article]

Mohamed Amine Ferrag, Leandros A. Maglaras, Helge Janicke, Jianmin Jiang
2016 arXiv   pre-print
Based on the current survey, we identify open issues and suggest hints for future research.  ...  In this paper, we present a comprehensive survey of authentication protocols for Internet of Things (IoT).  ...  Authors in [148] took a step further and based on their survey and analysis proposed a big data mining system for IoT. Ortiz et al.  ... 
arXiv:1612.07206v1 fatcat:awa32vfghnhwvdzrmjh2t2r2cm

A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer [article]

Merima Kulin, Tarik Kazaz, Ingrid Moerman, Eli de Poorter
2020 arXiv   pre-print
This paper provides a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering  ...  Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience  ...  of [21] survey ML approaches in the context of IoT smart cities. • Paper [22] surveys reinforcement learning applications for various applications including network access and rate control, wireless  ... 
arXiv:2001.04561v2 fatcat:kbbvgechmjgwla6noolrf6ds7u

Privacy preservation in permissionless blockchain: A survey

Li Peng, Wei Feng, Zheng Yan, Yafeng Li, Xiaokang Zhou, Shohei Shimizu
2020 Digital Communications and Networks  
Currently, permissionless blockchain has shown a good application prospect in many fields, from the initial cryptocurrency to the Internet of Things (IoT) and Vehicular Ad-Hoc Networking (VANET), which  ...  Permissionless blockchain, as a kind of distributed ledger, has gained considerable attention because of its openness, transparency, decentralization, and immutability.  ...  C18614, the open grant of the Tactical Data Link Lab of the 20th Research Institute of China Electronics Technology Group Corporation, P.R.  ... 
doi:10.1016/j.dcan.2020.05.008 fatcat:e3fpgsqvljawtmfhapw2be3cqy

A survey on wearable technology: History, state-of-the-art and current challenges

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibińska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa (+11 others)
2021 Computer Networks  
Moreover, the paper provides an extensive and diverse classification of wearables, based on various factors, a discussion on wireless communication technologies, architectures, data processing aspects,  ...  Finally, the survey highlights the critical challenges and existing/future solutions.  ...  It had a monochrome monitor with a futuristic 720 × 280 resolution for that time.  ... 
doi:10.1016/j.comnet.2021.108074 fatcat:523aaizt5jb7jgy6vzysm6q5iu

A Survey of Human Gait-Based Artificial Intelligence Applications

Elsa J. Harris, I-Hung Khoo, Emel Demircan
2022 Frontiers in Robotics and AI  
Our goal is to provide a single broad-based survey of the applications of machine learning technology in gait analysis and identify future areas of potential study and growth.  ...  algorithms, 2) Health and Wellness, with applications in gait monitoring for abnormal gait detection, recognition of human activities, fall detection and sports performance, 3) Human Pose Tracking using  ...  There is a need to minimize the distance between the experimental setup and the real-life application of a system.  ... 
doi:10.3389/frobt.2021.749274 pmid:35047564 pmcid:PMC8762057 fatcat:mqvy5qpcsjgfhdj4mw3altiroe
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