Relationship between timer resolution and synchronization message repetition frequency in a synchronized wireless sensor network

Giuseppe Coviello, Gianfranco Avitabile, Antonello Florio, Claudio Talarico, Janet Roveda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The synchronization between wireless sensor nodes represents a big issue in all low-cost systems in which each node performs measurements using its own sensors and stores locally the measured values. In this paper, we will analyze in detail the implementation limits concerning the simplest synchronization strategy that can be implemented for Wireless Sensor Networks (WSNs). In fact, we consider a type of star network in which a master periodically sends a synchronization message to the slaves belonging to its own subnet. The considerations made are referred to commercial low-cost microprocessors and System-on-Chips (SoCs). Solutions too simplistic lead to large synchronization errors or excessive power consumption; correct approaches require continuous calibration by the slaves and are therefore impractical.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021
EditorsPan Lin, Yong Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages535-538
Number of pages4
ISBN (Electronic)9781665439602
DOIs
StatePublished - Aug 2021
Event2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021 - Shanghai, China
Duration: Aug 27 2021Aug 29 2021

Publication series

NameProceedings - 2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021

Conference

Conference2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021
Country/TerritoryChina
CityShanghai
Period8/27/218/29/21

Keywords

  • IoT
  • RTC
  • Synchronized systems
  • System Timer
  • System-on-Chip
  • WSN

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems and Management

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