Literature DB >> 33466895

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy.

Viviane Cunha Farias da Costa1, Luiz Oliveira1,2, Jano de Souza1.   

Abstract

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. To the best of our knowledge, and taking into consideration the 76 other taxonomies compared, this present work represents the most comprehensive taxonomy that provides the orchestration of intelligence in network connections concerning knowledge processes, type of IoE enablers, observation characteristics, and technological capabilities in IoE applications.

Entities:  

Keywords:  Internet of everything; Internet of things; IoE; IoT; big-data; knowledge; sensors; taxonomy

Year:  2021        PMID: 33466895     DOI: 10.3390/s21020568

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  5 in total

Review 1.  Internet of Things: Security and Solutions Survey.

Authors:  Pintu Kumar Sadhu; Venkata P Yanambaka; Ahmed Abdelgawad
Journal:  Sensors (Basel)       Date:  2022-09-30       Impact factor: 3.847

2.  Scientific Developments and New Technological Trajectories in Sensor Research.

Authors:  Mario Coccia; Saeed Roshani; Melika Mosleh
Journal:  Sensors (Basel)       Date:  2021-11-24       Impact factor: 3.576

3.  Persistent Periodic Uplink Scheduling Algorithm for Massive NB-IoT Devices.

Authors:  Tin-Yu Wu; Ren-Hung Hwang; Abhishek Vyas; Chia-Yiu Lin; Chi-Ruei Huang
Journal:  Sensors (Basel)       Date:  2022-04-08       Impact factor: 3.576

4.  A Reinforcement Learning Based Transmission Parameter Selection and Energy Management for Long Range Internet of Things.

Authors:  Yassine Yazid; Antonio Guerrero-González; Imad Ez-Zazi; Ahmed El Oualkadi; Mounir Arioua
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

Review 5.  Enabling Blockchain Services for IoE with Zk-Rollups.

Authors:  Thomas Lavaur; Jérôme Lacan; Caroline P C Chanel
Journal:  Sensors (Basel)       Date:  2022-08-29       Impact factor: 3.847

  5 in total

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