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General Design of a Power-Saving Strategy for a Collaborative Wireless Sensor Network

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

Abstract

Structural Health Monitoring (SHM) is a field in which nodes with low power consumption in a wireless sensor network present clear advantages regarding deployability and maintainability. This work presents a general design proposal for a power-saving strategy for a collaborative network used in SHM. This strategy includes; code profiling recommendations, CPU Load measurements, and voltage-current measurements for an instruction-level optimization approach. This strategy increases the battery autonomy of the network nodes up to 586% with LoRa communication and Dynamic Power Management, considering three hours and 31 minutes as a baseline, achieving up to twenty-three hours and 45 minutes; moreover, it can reduce the mean power utilization by 11.81% in masters devices which for this work are called primary devices and 39.52 % for slaves devices, treated as the secondary ones. Furthermore, some significant results for CPU utilization reduction are presented, as well as identifying some areas of interest for future improvements.

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728167152
DOIs
StatePublished - 2022
Event40th IEEE Central America and Panama Convention, CONCAPAN 2022 - Panama City, Panama
Duration: 9 Nov 202212 Nov 2022

Publication series

NameProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022

Conference

Conference40th IEEE Central America and Panama Convention, CONCAPAN 2022
Country/TerritoryPanama
CityPanama City
Period9/11/2212/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • collaborative
  • Power
  • profiling
  • reduction
  • wireless

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