Internet of Everything (IoE) Taxonomies: Comparison
Please note this is a comparison between Version 2 by Vivi Li and Version 1 by Viviane Cunha Farias da Costa.

The paradigm of the Internet of everything (IoE) is advancing toward enriching people’s lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classification of IoE enablers (sensors and actuators); (3) validation of the defined taxonomy with 50 IoE applications; and (4) identification of issues and challenges in existing IoE applications (using the defined taxonomy) with regard to insights about knowledge processes.

  • Internet of everything
  • Internet of things
  • IoE
  • IoT
  • taxonomy
  • sensors
  • big-data
  • knowledge
Please wait, diff process is still running!

References

  1. Evans, D. The Internet of Everything: How More Relevant and Valuable Connections Will Change the World. Available online: https://www.cisco.com/web/about/ac79/docs/innov/IoE.pdf.comiweb/aboutlac79/docs/innov/IoE.pdf (accessed on 8 September 2020).
  2. Charmonman, S.; Mongkhonvanit, P. Special Consideration for Big Data in IoE or Internet of Everything. In Proceedings of the 13th International Conference on ICT and Knowledge Engineering (ICT and Knowledge Engineering 2015), Bangkok, Thailand, 18–20 November 2015; pp. 147–150.
  3. Yu, J.; Kwon, S.; Kang, H.; Kim, S.; Bae, J.; Pyo, C. A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment. In Proceedings of the International Conference on Platform Technology and Service, Jeju, Korea, 29–31 January 2018; pp. 1–6.
  4. Auger, A.; Exposito, E.; Lochin, E. Towards the Internet of Everything: Deployment Scenarios for a QoO-Aware Integration Platform. In Proceedings of the IEEE 4th World Forum Internet Things, Singapore, 5–8 February 2018; pp. 499–504.
  5. Xu, G.; Shi, Y.; Sun, X.; Shen, W. Internet of Things in Marine Environment Monitoring: A Review. Sensors 2019, 19, 1711.
  6. Srinivas, K.; Jabbar, M.A.; Neeraja, K.S. Sensors in IoE: A Review. Int. J. Eng. Technol. 2018, 7, 158.
  7. Di Martino, B.; Li, K.-C.; Yang, L.T.; Esposito, A. Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives; Springer: Singapore, 2018; ISBN 978-981-10-5860-8.
  8. Vaya, D.; Hadpawat, T. Internet of Everything (IoE): A New Era of IoT. In ICCCE 2019; Lecture Notes in Electrical Engineering; Springer: Singapore, 2020; Volume 570, pp. 1–6.
  9. Bojanova, I.; Hurlburt, G.; Voas, J. Imagineering an Internet of Anything. Computer—IEEE Comput. Soc. 2014, 47, 72–77.
  10. Fiaidhi, J.; Mohammed, S. Internet of Everything as a Platform for Extreme Automation. IT Prof. 2019, 21, 21–25.
  11. Miraz, M.H.; Ali, M.; Excell, P.S.; Picking, R. Internet of Nano-Things, Things and Everything: Future Growth Trends. Future Internet 2018, 10, 68.
  12. Srinivasan, C.R.; Rajesh, B.; Saikalyan, P.; Premsagar, K.; Yadav, E.S. A Review on the Different Types of Internet of Things (IoT). J. Adv. Res. Dyn. Control Syst. 2019, 11, 6.
  13. Raj, A.; Prakash, S. Internet of Everything: A Survey Based on Architecture, Issues and Challenges. In Proceedings of the 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, Gorakhpur, India, 2–4 November 2018; pp. 1–6.
  14. Ghosh, A.; Chakraborty, D.; Law, A. Artificial Intelligence in Internet of Things. CAAI Trans. Intell. Technol. 2018, 3, 208–218.
  15. Langley, D.J.; van Doorn, J.; Ng, I.C.L.; Stieglitz, S.; Lazovik, A.; Boonstra, A. The Internet of Everything: Smart Things and Their Impact on Business Models. J. Bus. Res. 2020, 122, 853–863.
  16. Miraz, M.H.; Ali, M.; Excell, P.S.; Picking, R. A Review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). In Proceedings of the Internet Technologies and Applications, Wrexham, UK, 8–11 September 2015; pp. 219–224.
  17. Masoud, M.; Jaradat, Y.; Manasrah, A.; Jannoud, I. Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts. J. Sens. 2019, 2019, 1–26.
  18. Vandebroek, S.V. 1, 2 Three Pillars Enabling the Internet of Everything: Smart Everyday Objects Information-Centric Networks, and Automated Real-Time Insights. In Proceedings of the IEEE International Solid-State Circuits Conference, San Francisco, CA, USA, 31 January–4 February 2016; pp. 14–20.
  19. Majeed, A. Developing Countries and Internet-of-Everything (IoE). In Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, Las Vegas, NV, USA, 9–11 January 2017; pp. 1–4.
  20. Nonaka, I.; Toyama, R. The Knowledge-Creating Theory Revisited: Knowledge Creation as a Synthesizing Process. In The Essentials of Knowledge Management; Palgrave Macmillan: London, UK, 2015; pp. 95–110.
  21. Di Martino, B.; Li, K.-C.; Yang, L.T.; Esposito, A. Trends and Strategic Researches in Internet of Everything. In Internet of Everything; Internet of Things; Di Martino, B., Li, K.-C., Yang, L.T., Esposito, A., Eds.; Springer: Singapore, 2018; pp. 1–12. ISBN 978-981-10-5860-8.
  22. Roy, S.; Chowdhury, C. Integration of Internet of Everything (IoE) with Cloud. In Beyond the Internet of Things; Internet of Things; Batalla, J.M., Mastorakis, G., Mavromoustakis, C.X., Pallis, E., Eds.; Springer International Publishing: Cham, Germany, 2017; pp. 199–222. ISBN 978-3-319-50756-9.
  23. Jennex, M.E. Big Data, the Internet of Things, and the Revised Knowledge Pyramid. SIGMIS Database 2017, 48, 69–79.
  24. Alkhabbas, F.; Spalazzese, R.; Davidsson, P. Characterizing Internet of Things Systems through Taxonomies: A Systematic Mapping Study. Internet Things 2019, 7, 100084.
  25. Yaqoob, I.; Ahmed, E.; Hashem, I.A.T.; Ahmed, A.I.A.; Gani, A.; Imran, M.; Guizani, M. Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges. IEEE Wirel. Commun. 2017, 24, 10–16.
  26. Mountrouidou, X.; Billings, B.; Mejia-Ricart, L. Not Just Another Internet of Things Taxonomy: A Method for Validation of Taxonomies. Internet Things 2019, 6, 100049.
  27. Noura, M.; Atiquzzaman, M.; Gaedke, M. Interoperability in Internet of Things: Taxonomies and Open Challenges. Mob. Netw. Appl. 2019, 24, 796–809.
  28. Eris, O.; Drury, J.; Ercolini, D. A Collaboration-Focused Taxonomy of the Internet of Things. In Proceedings of the IEEE 2nd World Forum on Internet of Things, Milan, Italy, 14–16 December 2015; pp. 29–34.
  29. Smutný, P. Different Perspectives on Classification of the Internet of Things. In Proceedings of the 17th International Carpathian Control Conference, Tatranska Lomnica, Slovakia, 29 May–1 June 2016; pp. 692–696.
  30. Sinche, S.; Raposo, D.; Armando, N.; Rodrigues, A.; Boavida, F.; Pereira, V.; Silva, J.S. A Survey of IoT Management Protocols and Frameworks. IEEE Commun. Surv. Tutor. 2019, 22, 1168–1190.
  31. Younis, M. Internet of Everything and Everybody: Architecture and Service Virtualization. Comput. Commun. 2018, 131, 66–72.
  32. Nezami, Z.; Zamanifar, K. Internet of Things/Internet of Everything: Structure and Ingredients. IEEE Potentials 2019, 38, 12–17.
  33. Al-Emran, M.; Mezhuyev, V.; Kamaludin, A.; Shaalan, K. The Impact of Knowledge Management Processes on Information Systems: A Systematic Review. Int. J. Inf. Manag. 2018, 43, 173–187.
  34. Philip, J. An Application of the Dynamic Knowledge Creation Model in Big Data. Technol. Soc. 2018, 54, 120–127.
  35. Nickerson, R.C.; Varshney, U.; Muntermann, J. A Method for Taxonomy Development and Its Application in Information Systems. Eur. J. Inf. Syst. 2013, 22, 336–359.
  36. Kotis, K.I.; Vouros, G.A.; Spiliotopoulos, D. Ontology Engineering Methodologies for the Evolution of Living and Reused Ontologies: Status, Trends, Findings and Recommendations. Knowl. Eng. Rev. 2020, 35.
  37. Bajaj, G.; Agarwal, R.; Singh, P.; Georgantas, N.; Issarny, V. 4W1H in IoT Semantics. IEEE Access 2018, 6, 65488–65506.
  38. Bajaj, G.; Agarwal, R.; Singh, P.; Georgantas, N.; Issarny, V. A Study of Existing Ontologies in the IoT-Domain. arXiv 2017, arXiv:1707.00112, 1–24.
  39. Bisdikian, C.; Kaplan, L.M.; Srivastava, M.B. On the Quality and Value of Information in Sensor Networks. ACM Trans. Sen. Netw. 2013, 9, 1–26.
  40. De Matos, E.; Amaral, L.A.; Hessel, F. Context-Aware Systems: Technologies and Challenges in Internet of Everything Environments. In Beyond the Internet of Things; Internet of Things; Batalla, J.M., Mastorakis, G., Mavromoustakis, C.X., Pallis, E., Eds.; Springer International Publishing: Cham, Germany, 2017; pp. 1–25. ISBN 978-3-319-50756-9.
  41. Pozza, R.; Nati, M.; Georgoulas, S.; Moessner, K.; Gluhak, A. Neighbor Discovery for Opportunistic Networking in Internet of Things Scenarios: A Survey. IEEE Access 2015, 3, 1101–1131.
  42. Shahid, N.; Aneja, S. Internet of Things: Vision, Application Areas and Research Challenges. In Proceedings of the International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), Palladam, India, 10–11 February 2017; pp. 583–587.
  43. Perera, C.; Zaslavsky, A.; Christen, P.; Georgakopoulos, D. Context Aware Computing for The Internet of Things: A Survey. IEEE Commun. Surv. Tutor. 2014, 16, 414–454.
  44. Ge, M.; Bangui, H.; Buhnova, B. Big Data for Internet of Things: A Survey. Future Gener. Comput. Syst. 2018, 87, 601–614.
  45. Ur Rehman, M.H.; Liew, C.S.; Wah, T.Y.; Khan, M.K. Towards Next-Generation Heterogeneous Mobile Data Stream Mining Applications: Opportunities, Challenges, and Future Research Directions. J. Netw. Comput. Appl. 2017, 79, 1–24.
  46. Bonte, P.; Tommasini, R.; De Turck, F.; Ongenae, F.; Valle, E.D. C-Sprite: Efficient Hierarchical Reasoning for Rapid RDF Stream Processing. In Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems—DEBS ’19, Darmstadt, Germany, 24–28 June 2019; pp. 103–114.
  47. Prat, N. A Hierarchical Model for Knowledge Management. In Encyclopedia of Knowledge Management; IGI Global: Hershey, PA, USA, 2011; pp. 376–388. ISBN 978-1-59904-931-1.
  48. Ein-Dor, P. Taxonomies of Knowledge. In Encyclopedia of Knowledge Management, 2nd ed.; IGI Global: Hershey, PA, USA, 2011; pp. 1490–1499.
  49. Perera, C.; Vasilakos, A.V. A Knowledge-Based Resource Discovery for Internet of Things. Knowledge-Based Syst. 2016, 109, 122–136.
  50. Obinikpo, A.A.; Kantarci, B. Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities. J. Sens. Actuator Netw. 2017, 6, 26.
  51. Chaochaisit, W.; Bessho, M.; Koshizuka, N.; Sakamura, K. Human Localization Sensor Ontology: Enabling OWL 2 DL-Based Search for User’s Location-Aware Sensors in the IoT. In Proceedings of the IEEE Tenth International Conference on Semantic Computing, Laguna Hills, CA, USA, 4–6 February 2016; pp. 107–111.
  52. Mahdavinejad, M.; Rezvan, M.; Barekatain, M. Machine Learning for Internet of Things Data Analysis: A Survey. Digit. Commun. Netw. 2018, 4, 161–175.
  53. Grant, J.; Parisi, F. Logic and Knowledge Bases. In Encyclopedia of Knowledge Management, 2nd ed.; Schwartz, D., Ed.; IGI Global: Hershey, PA, USA, 2010; ISBN 978-1-59904-931-1.
  54. Höller, J.; Tsiatsis, V.; Mulligan, C. Toward a Machine Intelligence Layer for Diverse Industrial IoT Use Cases. IEEE Intell. Syst. 2017, 32, 64–71.
  55. Ruta, M.; Scioscia, F.; Loseto, G.; Pinto, A.; Di Sciascio, E. Machine Learning in the Internet of Things: A Semantic-Enhanced Approach. Semant. Web 2018, 10, 183–204.
  56. Qanbari, S.; Behinaein, N.; Rahimzadeh, R.; Dustdar, S. Gatica: Linked Sensed Data Enrichment and Analytics Middleware for IoT Gateways. In Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, Rome, Italy, 24–26 August 2015; pp. 38–43.
  57. Damiani, E. Toward Big Data Risk Analysis. In Proceedings of the IEEE International Conference on Big Data, Santa Clara, CA, USA, 29 October–1 November 2015; pp. 1905–1909.
  58. Yebda, T.; Benois-Pineau, J.; Amieva, H.; Frolicher, B. Multi-Sensing of Fragile Persons for Risk Situation Detection: Devices, Methods, Challenges. In Proceedings of the International Conference on Content-Based Multimedia Indexing, Dublin, Ireland, 4–6 September 2019; pp. 1–6.
  59. Pal, D.; Vanijja, V.; Varadarajan, V. Quality Provisioning in the Internet of Things Era: Current State and Future Directions. In Proceedings of the 10th International Conference on Advances in Information Technology, Bangkok, Thailand, 10–13 December 2018; pp. 1–7.
  60. Mohamed, A.; Najafabadi, M.K.; Wah, Y.B.; Zaman, E.A.K.; Maskat, R. The State of the Art and Taxonomy of Big Data Analytics: View from New Big Data Framework. Artif. Intell. Rev. 2019.
  61. Bugeja, J.; Davidsson, P.; Jacobsson, A. Functional Classification and Quantitative Analysis of Smart Connected Home Devices. In Proceedings of the Global Internet of Things Summit, Bilbao, Spain, 4–6 June 2018; pp. 1–6.
  62. Marjani, M.; Nasaruddin, F.; Gani, A.; Karim, A.; Hashem, I.A.T.; Siddiqa, A.; Yaqoob, I. Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges. IEEE Access 2017, 5, 5247–5261.
  63. Yaqoob, I.; Hashem, I.A.T.; Gani, A.; Mokhtar, S.; Ahmed, E.; Anuar, N.B.; Vasilakos, A.V. Big Data: From Beginning to Future. Int. J. Inf. Manag. 2016, 36, 1231–1247.
  64. Gao, J.; Lei, L.; Yu, S. Big Data Sensing and Service: A Tutorial. In Proceedings of the IEEE First International Conference on Big Data Computing Service and Applications, Redwood City, CA, USA, 30 March–2 April 2015; pp. 79–88.
  65. Atat, R.; Liu, L.; Wu, J.; Li, G.; Ye, C.; Yang, Y. Big Data Meet Cyber-Physical Systems: A Panoramic Survey. IEEE Access 2018, 6, 73603–73636.
  66. Cai, S.; Gallina, B.; Nyström, D.; Seceleanu, C. Data Aggregation Processes: A Survey, a Taxonomy, and Design Guidelines. Computing 2018, 1–33.
  67. Shah, S.A.; Seker, D.Z.; Hameed, S.; Draheim, D. The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects. IEEE Access 2019, 7, 54595–54614.
  68. Haron, N.; Jaafar, J.; Aziz, I.A.; Hassan, M.H.; Shapiai, M.I. Data Trustworthiness in Internet of Things: A Taxonomy and Future Directions. In Proceedings of the IEEE Conference on Big Data and Analytics, Kuching, Malaysia, 16–17 November 2017; pp. 25–30.
  69. Asghari, P.; Rahmani, A.M.; Javadi, H.H.S. Service Composition Approaches in IoT: A Systematic Review. J. Netw. Comput. Appl. 2018, 120, 61–77.
  70. Jing, Q.; Vasilakos, A.V.; Wan, J.; Lu, J.; Qiu, D. Security of the Internet of Things: Perspectives and Challenges. Wirel. Netw. 2014, 20, 2481–2501.
  71. Hassan, N.; Gillani, S.; Ahmed, E.; Yaqoob, I.; Imran, M. The Role of Edge Computing in Internet of Things. IEEE Commun. Mag. 2018, 56, 110–115.
  72. Ahad, A.; Tahir, M.; Yau, K.-L.A. 5G-Based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research Directions. IEEE Access 2019, 7, 100747–100762.
  73. Asghari, P.; Rahmani, A.M.; Javadi, H.H.S. Internet of Things Applications: A Systematic Review. Comput. Netw. 2019, 148, 241–261.
  74. Barker, L.; White, M.; Patoli, Z.; Huggins, B.; Pascu, T.; Curran, M.; Beloff, N. Taxonomy for Internet of Things—Tools for Monitoring Personal Effects. In Proceedings of the 4th International Conference on Pervasive and Embedded Computing and Communication Systems, Lisbon, Portugal, 7–9 January 2014; Volume 1, pp. 67–71.
  75. Botta, A.; de Donato, W.; Persico, V.; Pescapé, A. Integration of Cloud Computing and Internet of Things: A Survey. Future Gener. Comput. Syst. 2016, 56, 684–700.
  76. Ashraf, Q.M.; Habaebi, M.H. Autonomic Schemes for Threat Mitigation in Internet of Things. J. Netw. Comput. Appl. 2015, 49, 112–127.
  77. Phuttharak, J.; Loke, S.W. A Review of Mobile Crowdsourcing Architectures and Challenges: Toward Crowd-Empowered Internet-of-Things. IEEE Access 2019, 7, 304–324.
  78. Neshenko, N.; Bou-Harb, E.; Crichigno, J.; Kaddoum, G.; Ghani, N. Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations. IEEE Commun. Surv. Tutor. 2019, 21, 2702–2733.
  79. Bamgboye, O.; Liu, X.; Cruickshank, P. Towards Modelling and Reasoning About Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. In Proceedings of the IEEE 42nd Annual Computer Software and Applications Conference, Tokyo, Japan, 23–27 July 2018; pp. 744–749.
  80. Chen, C.; Helal, S. A Device-Centric Approach to a Safer Internet of Things. In Proceedings of the International Workshop on Networking and Object Memories for the Internet of Things, Beijing, China, 18 September 2011; pp. 1–6.
  81. Boyes, H.; Hallaq, B.; Cunningham, J.; Watson, T. The Industrial Internet of Things (IIoT): An Analysis Framework. Comput. Ind. 2018, 101, 1–12.
  82. Siow, E.; Tiropanis, T.; Hall, W. Analytics for the Internet of Things: A Survey. ACM Comput. Surv. 2018, 51, 1–36.
  83. Chellappan, V.; Sivalingam, K.M. Security and privacy in the Internet of Things. In Internet of Things—Principles and Paradigms; Morgan Kaufmann: Burlington, MA, USA, 2016; pp. 183–200. ISBN 978-0-12-805395-9.
  84. Alsamani, B.; Lahza, H. A Taxonomy of IoT: Security and Privacy Threats. In Proceedings of the International Conference on Information and Computer Technologies, DeKalb, IL, USA, 23–25 March 2018; pp. 72–77.
  85. Bellavista, P.; Berrocal, J. A Survey on Fog Computing for the Internet of Things. Pervasive Mob. Comput. 2019, 52, 71–99.
  86. Fortino, G.; Rovella, A.; Russo, W.; Savaglio, C. On the Classification of Cyberphysical Smart Objects in the Internet of Things. In Proceedings of the International Workshop on Networks of Cooperating Objects for Smart Cities 2014 (UBICITEC 2014), Berlin, Germany, 14 April 2014; Volume 1156, pp. 86–94.
  87. Sholla, S.; Naaz, R.; Chishti, M.A. Ethics Aware Object Oriented Smart City Architecture. China Commun. 2017, 14, 160–173.
  88. Abbas, N.; Zhang, Y.; Taherkordi, A.; Skeie, T. Mobile Edge Computing: A Survey. IEEE Internet Things J. 2018, 5, 450–465.
  89. Zhang, J.; Chen, B.; Zhao, Y.; Cheng, X.; Hu, F. Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues. IEEE Access 2018, 6, 18209–18237.
  90. Sahinel, D.; Akpolat, C.; Gorur, O.C.; Sivrikaya, F. Integration of Human Actors in IoT and CPS Landscape. In Proceedings of the IEEE 5th World Forum on Internet of Things, Limerick, Ireland, 15–18 April 2019; pp. 485–490.
  91. Oteafy, S.M.A.; Hassanein, H.S. Leveraging Tactile Internet Cognizance and Operation via IoT and Edge Technologies. Proc. IEEE 2019, 107, 364–375.
  92. Oberländer, A.M.; Röglinger, M.; Rosemann, M.; Kees, A. Conceptualizing Business-to-Thing Interactions—A Sociomaterial Perspective on the Internet of Things. Eur. J. Inf. Syst. 2018, 27, 486–502.
  93. Moustaka, V.; Vakali, A.; Anthopoulos, L.G. A Systematic Review for Smart City Data Analytics. ACM Comput. Surv. 2018, 51, 1–41.
  94. Russell, S.J.; Norvig, P.; Davis, E. Artificial Intelligence: A Modern Approach, 3rd ed.; Prentice Hall Series in Artificial Intelligence; Prentice Hall: Upper Saddle River, NJ, USA, 2016; ISBN 978-0-13-604259-4.
  95. Ahmed, E.; Yaqoob, I.; Gani, A.; Imran, M.; Guizani, M. Internet-of-Things-Based Smart Environments: State of the Art, Taxonomy, and Open Research Challenges. IEEE Wirel. Commun. 2016, 23, 10–16.
  96. Armando, N.; Rodrigues, A.; Pereira, V.; Sá Silva, J.; Boavida, F. An Outlook on Physical and Virtual Sensors for a Socially Interactive Internet. Sensors 2018, 18, 2578.
  97. Salim, F.; Haque, U. Urban Computing in the Wild: A Survey on Large Scale Participation and Citizen Engagement with Ubiquitous Computing, Cyber Physical Systems, and Internet of Things. Int. J. Hum. Comput. Stud. 2015, 81, 31–48.
  98. Agarwal, R.; Fernandez, D.G.; Elsaleh, T.; Gyrard, A.; Lanza, J.; Sanchez, L.; Georgantas, N.; Issarny, V. Unified IoT Ontology to Enable Interoperability and Federation of Testbeds. In Proceedings of the IEEE 3rd World Forum on Internet of Things, Reston, VA, USA, 12–14 December 2016; pp. 70–75.
  99. Naha, R.K.; Garg, S.; Georgakopoulos, D.; Jayaraman, P.P.; Gao, L.; Xiang, Y.; Ranjan, R. Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions. IEEE Access 2018, 6, 47980–48009.
  100. Hui, T.K.L.; Sherratt, R.S. Towards Disappearing User Interfaces for Ubiquitous Computing: Human Enhancement from Sixth Sense to Super Senses. J. Ambient. Intell. Humaniz. Comput. 2017, 8, 449–465.
  101. Haller, S.; Serbanati, A.; Bauer, M.; Carrez, F. A Domain Model for the Internet of Things. In Proceedings of the IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, China, 20–23 August 2013; pp. 411–417.
  102. Berger, S.; Denner, M.-S.; Röglinger, M. The Nature of Digital Technologies—Development of a Multi-Layer Taxonomy. In Proceedings of the Twenty-Sixth European Conference on Information Systems, Portsmouth, UK, 23–28 June 2018; pp. 1–19.
  103. Bhatt, S.; Patwa, F.; Sandhu, R. An Access Control Framework for Cloud-Enabled Wearable Internet of Things. In Proceedings of the IEEE 3rd International Conference on Collaboration and Internet Computing, San Jose, CA, USA, 15–17 October 2017; pp. 328–338.
  104. Compton, M.; Barnaghi, P.; Bermudez, L.; García-Castro, R.; Corcho, O.; Cox, S.; Graybeal, J.; Hauswirth, M.; Henson, C.; Herzog, A.; et al. The SSN Ontology of the W3C Semantic Sensor Network Incubator Group. J. Web Semant. 2012, 17, 25–32.
  105. Rozsa, V.; Denisczwicz, M.; Dutra, M.; Ghodous, P.; Silva, C.F.D.; Moayeri, N.; Biennier, F.; Figay, N. An Application Domain-Based Taxonomy for IoT Sensors. In Transdisciplinary Engineering: Crossing Boundaries, Proceedings of the 23rd ISPE International Conference on Transdisciplinary Engineering: Crossing Boundaries, Curitiba, Brazil, 3–7 October 2016; IOS Press BV: Amsterdam, The Netherlands, 2016; Volume 4, pp. 249–258.
  106. Montori, F.; Jayaraman, P.P.; Yavari, A.; Hassani, A.; Georgakopoulos, D. The Curse of Sensing: Survey of Techniques and Challenges to Cope with Sparse and Dense Data in Mobile Crowd Sensing for Internet of Things. Pervasive Mob. Comput. 2018, 49, 111–125.
  107. Ravignani, A.; Olivera, V.; Gingras, B.; Hofer, R.; Hernández, C.; Sonnweber, R.-S.; Fitch, W. Primate Drum Kit: A System for Studying Acoustic Pattern Production by Non-Human Primates Using Acceleration and Strain Sensors. Sensors 2013, 13, 9790–9820.
  108. Dorsemaine, B.; Gaulier, J.; Wary, J.; Kheir, N.; Urien, P. Internet of Things: A Definition & Taxonomy. In Proceedings of the 9th International Conference on Next Generation Mobile Applications, Services and Technologies, Cambridge, UK, 9–11 September 2015; pp. 72–77.
  109. Sethi, P.; Sarangi, S.R. Internet of Things: Architectures, Protocols, and Applications. J. Electr. Comput. Eng. 2017, 2017, 1–25.
  110. Subbu, K.P.; Vasilakos, A.V. Big Data for Context Aware Computing—Perspectives and Challenges. Big Data Res. 2017, 10, 33–43.
  111. Taylor, W.; Abbasi, Q.H.; Dashtipour, K.; Ansari, S.; Shah, S.A.; Khalid, A.; Imran, M.A. A Review of the State of the Art in Non-Contact Sensing for COVID-19. Sensors 2020, 20, 5665.
  112. Oliveira, L.; Schneider, D.; De Souza, J.; Shen, W. Mobile Device Detection Through WiFi Probe Request Analysis. IEEE Access 2019, 7, 98579–98588.
  113. Saad, E.; Elhosseini, M.; Haikal, A.Y. Recent Achievements in Sensor Localization Algorithms. Alex. Eng. J. 2018, 57, 4219–4228.
  114. Shit, R.C.; Sharma, S.; Puthal, D.; Zomaya, A.Y. Location of Things (LoT): A Review and Taxonomy of Sensors Localization in IoT Infrastructure. IEEE Commun. Surv. Tutor. 2018, 20, 2028–2061.
  115. Abdul-Ghani, H.A.; Konstantas, D.; Mahyoub, M. A Comprehensive IoT Attacks Survey Based on a Building-Blocked Reference Model. Int. J. Adv. Comput. Sci. Appl. 2018, 9.
  116. Abbas, S.S.A.; Priya, K.L. Self Configurations, Optimization and Protection Scenarios with Wireless Sensor Networks in IIoT. In Proceedings of the International Conference on Communication and Signal Processing, Chennai, India, 4–6 April 2019; pp. 0679–0684.
  117. Nayyer, M.Z.; Raza, I.; Hussain, S.A. A Survey of Cloudlet-Based Mobile Augmentation Approaches for Resource Optimization. ACM Comput. Surv. (CSUR) 2019, 51, 107.
  118. Mon, A.; Giorgio, H.R.D.; María, E.D.; Querel, M.; Figuerola, C. Evaluation of Technological Development for the Definition of Industries 4.0. In Proceedings of the Congreso Argentino de Ciencias de la Informática y Desarrollos de Investigación, Buenos Aires, Argentina, 28–30 November 2018; pp. 1–6.
  119. Pliatsios, A.; Goumopoulos, C.; Kotis, K. A Review on IoT Frameworks Supporting Multi-Level Interoperability—The Semantic Social Network of Things Framework. Int. J. Adv. Internet Technol. 2020, 13, 46–64.
  120. Mehmood, Y.; Ahmad, F.; Yaqoob, I.; Adnane, A.; Imran, M.; Guizani, S. Internet-of-Things-Based Smart Cities: Recent Advances and Challenges. IEEE Commun. Mag. 2017, 55, 16–24.
  121. Fan, H.; Li, J.; Chen, N.; Hu, C. Capability Representation Model for Heterogeneous Remote Sensing Sensors: Case Study on Soil Moisture Monitoring. Environ. Model. Softw. 2015, 70, 65–79.
  122. Mehmood, E.; Anees, T. Challenges and Solutions for Processing Real-Time Big Data Stream: A Systematic Literature Review. IEEE Access 2020, 8, 119123–119143.
  123. Gluhak, A.; Krco, S.; Nati, M.; Pfisterer, D.; Mitton, N.; Razafindralambo, T. A Survey on Facilities for Experimental Internet of Things Research. IEEE Commun. Mag. 2011, 49, 58–67.
  124. Uschold, M.; Gruninger, M. Ontologies: Principles, Methods and Applications. Knowl. Eng. Rev. 1996, 11, 93–155.
More
Video Production Service