Location criteria for computational intelligence algorithms in the web of things: a systematic literature review
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Copyright (c) 2021 Investigación e Innovación en Ingenierías
This work is licensed under a Creative Commons Attribution 4.0 International License.
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- Submited: November 26, 2021
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Published: December 13, 2021
Abstract
Objective: Determine and characterize the current state of the knowledge about the location criteria of data processing, using computational intelligence techniques in an Intelligent Objects Ecosystem of Web of Things. Methodology: The systematic review presented below is based on the studies carried out by Petersen and Kitchenham, four research questions were proposed, the PICOC method was applied to identify the keywords, a search chain and four search engines were proposed, the inclusion and exclusion criteria of primary studies were proposed, as well as the quality evaluation criteria, the data extraction strategy and the synthesis method. Results: It was possible to answer the four research questions proposed, finding that most of the studies lack an implementation in the three analyzed locations and a single study compares the performance obtained by a computational intelligence algorithm when processing information in different locations of the ecosystem. Conclusions: The need to continue carrying out studies in the area of the localization of processing in intelligent ecosystems was demonstrated using computational intelligence techniques for processing in different locations. In addition, there is evidence of a need to place greater emphasis on comparing the performance obtained when carrying out implementations taking into account different computational intelligence techniques.
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How to Cite
[1]
C. E. Romero Parra, M. Ángel Niño Zambrano, and C. A. Cobos Lozada, “Location criteria for computational intelligence algorithms in the web of things: a systematic literature review”, Investigación e Innovación en Ingenierías, vol. 9, no. 3, pp. 108–123, Dec. 2021.
