Time Synchronization and Clock Parameter Estimation for Wireless Sensor Networks with Unequal Propagation Delays

Guopeng Liu, Shefeng Yan, Linlin Mao, Zeping Sui

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

4 Citations (Scopus)

Abstract

Time synchronization is a prerequisite and also a critical support technique for wireless sensor networks (WSNs). Traditional synchronization protocols have some drawbacks, such as limited synchronization accuracy, high energy consumption, and strict node deployment requirement, which limits their application in underwater WSNs. In view of the shortcomings of the traditional schemes, we propose an energy-efficient synchronization protocol which explores the nature of broadcasting to save energy. Based on the proposed protocol, the minimum variance unbiased estimation (MVUE) of the clock offsets is further derived to obtain higher synchronization accuracy. Remarkably, the proposed protocol can be applied to randomly deployed WSNs with unequal propagation delays, especially underwater WSNs. Simulation results confirm the superiority of the proposed protocol in both terrestrial and underwater WSNs.

Original languageEnglish
Title of host publicationICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172019
DOIs
Publication statusPublished - 21 Aug 2020
Externally publishedYes
Event2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020 - Macau, China
Duration: 21 Aug 202023 Aug 2020

Publication series

NameICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings

Conference

Conference2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020
Country/TerritoryChina
CityMacau
Period21/08/2023/08/20

Keywords

  • Time synchronization
  • clock offset
  • exponential delay
  • minimum variance unbiased estimation
  • wireless sensor networks

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