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A survey of adaptive sampling and filtering algorithms for the internet of things

Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl
2020 Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems  
To gather data in such a dynamic environment efficiently, two techniques have emerged over the last decade: adaptive sampling and adaptive filtering.  ...  The Internet of Things (IoT) represents one of the fastest emerging trends in the area of information and communication technology.  ...  Acknowledgements: This work is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765452  ... 
doi:10.1145/3401025.3403777 dblp:conf/debs/GiouroukisDTZM20 fatcat:4ukbpah34zhnxjsc7aplytczwq

2019 Index IEEE Transactions on Emerging Topics in Computing Vol. 7

2020 IEEE Transactions on Emerging Topics in Computing  
., +, TETC April -June 2019 314-323 Guest Editorial: Introduction to the Special Section on Sensor Data Computing as a Service in Internet of Things.  ...  ., +, TETC July-Sept. 2019 404-419 Data models Guest Editorial: Introduction to the Special Section on Sensor Data Computing as a Service in Internet of Things.  ... 
doi:10.1109/tetc.2020.2973584 fatcat:4txtg6db3reurmvwkf346sxotm

Security and privacy in IoT communication

Jin Li, Xiaofeng Liao, Nicolas Puech
2019 Annales des télécommunications  
The paper entitled "Access control in the Internet of Things: a survey of existing approaches and open research questions" provides a comprehensive survey of the existing different models, focused both  ...  In recent years, with the popularity of smart devices, the Internet of things (IoT) has become a buzzword to describe the smart device objects.  ...  The paper entitled "Access control in the Internet of Things: a survey of existing approaches and open research questions" provides a comprehensive survey of the existing different models, focused both  ... 
doi:10.1007/s12243-019-00718-6 fatcat:dzkktnyp2ncnrodwvm5m7cum4a

Preliminary Step for Implementing Cognitive Internet of Things Through Software-Defined Radio

Madhuri Gummineni, Polipalli Trinatha Rao
2021 SN Computer Science  
Cognitive radio (CR) that has connectivity to the Internet strengthens the concept of "Internet of Things".  ...  The exponential growth of Internet of Things (IoT) leads to spectrum-related issues such as Spectrum Allocation and Management.  ...  Declaration Conflict of interest The authors declare no conflict of interest.  ... 
doi:10.1007/s42979-021-00653-1 dblp:journals/sncs/GummineniR21 fatcat:qtpzfrc7vbbh7jvdywojugjlwq

IEEE Access Special Section Editorial: Collaboration for Internet of Things

Chunsheng Zhu, Vincenzo Piuri, Joel J. P. C. Rodrigues, Huansheng Ning, Huan Zhou, Zhangbing Zhou
2020 IEEE Access  
In the article ''Security control redundancy allocation technology and security keys based on Internet of Things,'' by Yang et al., a high-order voting algorithm for objectnetworked control and a new security  ...  In the article ''Self-organizing approximation command filtered backstepping control for higher order SISO systems in Internet of Things,'' by He et al., the authors propose a method including command  ... 
doi:10.1109/access.2020.3019908 fatcat:dnelxvm5rffolmijagpnnvx6m4

Software Quality Assurance in Internet of Things

Marwah Marwah, Qudsia Mateen, Mehreen Sirshar
2015 International Journal of Computer Applications  
Internet of Things (IoT) is increasing the connectedness of things and people on a scale that was not imaginable before.  ...  The paper is the comprehensive survey of techniques and methodologies used for the implementing IoT.  ...  Other state is online in which light data processing is done along with the message. IBC is suitable for small networks and PKI is suitable for internet. Internet of Things for Smart Cities (A.  ... 
doi:10.5120/19217-0964 fatcat:6ojlsbmbofambj3ggsduykxgzi

An Internet of Things Platform with Google Eddystone Beacons

Aronee Dasgupta, Roopa Nagaraj, K. Nagamani
2016 Journal of Software Engineering and Applications  
In the proposed work, an Internet of Things platform is configured and developed. The Raspberry Pi is configured as an Eddystone beacon through a NodeJs server.  ...  The aim of the proposed work is to provide a low cost, reliable, flexible, scalable and open source alternative for small and medium scale enterprises.  ...  The final estimation of the location uses Bayesian filtering which uses the sample sets derived through Monte Carlo sampling.  ... 
doi:10.4236/jsea.2016.96020 fatcat:qvsmncjws5aaxnf2gmi4qw7zb4

Review on Efficient Spam Detection Technique using Machine Learning

Tejal S. Murkute, Nitin K. Choudhari, Dipalee M. Kate
2022 Zenodo  
With the use of artificial intelligence and machine learning, spam messages can be identified. Spam filtering is a popular application of machine learning techniques.  ...  The main objective is to create suitable filters that can correctly recognise these emails and deliver outstanding performance in the majority of cases.  ...  According to the data, the proposed notion performs well on precision, memory, and accuracy efficiency tests. [13] [14] [15] [16] Aaisha Makkar is of the opinion that The Internet of Things (IoT) is a  ... 
doi:10.5281/zenodo.5878453 fatcat:stt2wnbj7jhvtdilmvw5z3pe4y

A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things

Frieder Ganz, Daniel Puschmann, Payam Barnaghi, Francois Carrez
2015 IEEE Internet of Things Journal  
The term Internet of Things (IoT) refers to the interaction and communication between billions of devices that produce and exchange data related to real world objects (i.e. Things).  ...  This paper provides a survey of the requirements and solutions and describes challenges in the area of information abstraction and presents an efficient workflow to extract meaningful information from  ...  His research is focused on information abstraction and extracting actionable knowledge from streaming data produced in the Internet of Things using stream processing and machine learning techniques.  ... 
doi:10.1109/jiot.2015.2411227 fatcat:rfojwiivb5c2xkypmfdgat6hmq

Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things

Shaolong Li, Changlei Zhou, Ziya Uddin
2022 Computational Intelligence and Neuroscience  
Based on the calculation of the economic volume of the deep learning of the Internet of things and the questionnaire survey method, it can be seen that, in today's globalization, although everyone knows  ...  This article proposes how to design a motion detection device in sports based on deep learning of the Internet of things.  ...  Figure 6 is a structural diagram of the Internet of things. Experiment and Analysis Experiment and Analysis of Questionnaire Survey Method.  ... 
doi:10.1155/2022/2613318 pmid:35251145 pmcid:PMC8890825 fatcat:puhypb6i3rfgzi4ymrsa4owgiy

Filtering and Control for Unreliable Communication 2015

Guoliang Wei, Lifeng Ma, Zidong Wang, Derui Ding, Jun Hu
2015 Discrete Dynamics in Nature and Society  
Acknowledgments This special issue is a timely reflection of the recent research progress in the area of filtering and control for unreliable communication in various systems.  ...  We would like to acknowledge all authors for their efforts in submitting highquality papers. We are also very grateful to the reviewers for their thorough and on-time reviews of the papers.  ...  In light of the rapid deployment of sensor network, this special issue starts with a survey paper entitled "A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks" by W.  ... 
doi:10.1155/2015/278018 fatcat:3tkmx5ad6bdftjxfxcpclsursi

A guideline for understanding and measuring algorithmic governance in everyday life

Michael Latzer, Noemi Festic
2019 Internet Policy Review  
Vague concepts of algorithmic governance and the lack of comprehensive empirical insights into this kind of institutional steering by software from a user perspective may, however, lead to unrealistic  ...  Therefore, this paper offers a theoretical model to measure the significance of algorithmic governance and an empirical mixed-methods approach to test it in different life domains.  ...  This representative sample of affected life domains is derived from a representative, country-wide survey on internet usage.  ... 
doi:10.14763/2019.2.1415 fatcat:4smr3lh6t5dzrk2ad43khwsdrm

Assessing and fostering college students' algorithm awareness across online contexts

Jessica E. Brodsky, Dvora Zomberg, Kasey L. Powers, Patricia J. Brooks
2020 Journal of Media Literacy Education  
ACKNOWLEDGEMENTS We acknowledge the assistance of Cody Barshaba, Arshia Lodhi, Yan Mei Nie, Nada Tantawi, Jenna John, Taya Podvorchan, and Dea Turashvili.  ...  Preliminary results were presented at the 125th Annual Meeting of the Eastern Psychological Association.  ...  "The internet does this by looking at your past activity and what you like and dislike to limit your exposure to the things that you dislike."  ... 
doi:10.23860/jmle-2020-12-3-5 fatcat:qx2frnta4ffpdc2r5e3scrhxnq

Audio Watermarking Schemes: A Comparative Analysis

Jasmine Jolly, Mehbooba P Shareef
2020 International Journal of Engineering Technology and Management Sciences  
The growth of internet and its reachability to all sectors of people have never been greater. Internet has become the best marketplace, the best library and may be the best guide for everything.  ...  A lot of methods have been developed for image and video watermarking, but the research on audio watermarking started a little bit later.  ...  Relying on exhaustive simulations, they show the robustness of the hidden watermark for additive noise, MP3 compression, requantization, filtering, cropping and re-sampling. G.  ... 
doi:10.46647/ijetms.2020.v04i04.009 fatcat:7yxkcihqejhvvond6winhgblq4

Personalized Marketing Recommendation System of New Media Short Video Based on Deep Neural Network Data Fusion

Feifeng Huang, Mu Zhou
2021 Journal of Sensors  
How to make full use of short video for effective marketing has become a hot issue that academia and industry are paying close attention to.  ...  The strategy of short video marketing in social media, and the use of highly in-depth neural network analysis technology for the personalized marketing recommendation system of new media short videos,  ...  The age of the survey group is concentrated under 30 years old, and the overall population of this age group is younger highly active online, good at accepting new things.  ... 
doi:10.1155/2021/3638071 fatcat:tyxatp4w3nbrviknr4an7oyyea
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