Selection of LPWAN Technology for the Adoption and Efficient Use of the IoT in the Rural Areas of the Province of Guayas Using AHP Method

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Ecuador, being a developing country, depends on the search and implementation of new technologies that help improve the productive matrix, this is the case of the agricultural sector, driven by the growth of the Internet market. Internet of Things (IoT) Low-power wide-area network (LPWAN) has allowed its expansion in underdeveloped countries. Sigfox, LoRa, and NB-IoT are the three leading LPWAN technologies that compete for large-scale IoT implementation. This document provides a comparative study of these technologies, focused on the livestock sector. Basic criteria are identified to facilitate decision making when using IoT technology for the development of livestock in rural areas of Guayas province. Through the analytical hierarchical process(AHP), the type of technologies to be implemented is ranked and selected.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer
Pages497-503
Number of pages7
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Bibliographical note

Funding Information:
This work has been supported by the GIIAR research group and the Salesian Polytechnic University of Guayaquil.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • AHP
  • IoT
  • Livestock
  • LoRa
  • NB-IoT
  • Sigfox

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