Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs

In the practical application of large-scale photovoltaic module monitoring, adopting wireless sensor network (WSN) technology is a method worth researching. With increasing nodes in the wireless sensor network, widely existing clock skew, increased geometrically, is bringing about greater energy con...

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Main Authors: Xianbo Sun, Yixin Su, Yong Huang, Jianjun Tan, Jinqiao Yi, Tao Hu, Li Zhu
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2020/8840367
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spelling doaj-9b225f1130a5495eb017b730c1ae42f12020-11-30T09:11:22ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88403678840367Edge Computing-Based ERBS Time Synchronization Algorithm in WSNsXianbo Sun0Yixin Su1Yong Huang2Jianjun Tan3Jinqiao Yi4Tao Hu5Li Zhu6School of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaSchool of Automation, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaSchool of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaSchool of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaSchool of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaSchool of Information Engineering, Hubei Minzu University, Enshi 445000, ChinaIn the practical application of large-scale photovoltaic module monitoring, adopting wireless sensor network (WSN) technology is a method worth researching. With increasing nodes in the wireless sensor network, widely existing clock skew, increased geometrically, is bringing about greater energy consumption. Due to the random distribution of nodes, in order to improve the transmission efficiency and reduce the computational load of the coordinator, the node processor needs to the use edge computing for preliminary analysis. This paper puts forward an improved energy-efficient reference broadcast synchronization algorithm (ERBS). This algorithm firstly calculates the average phase offset of nonadjacent nodes in the network after receiving a message. It then uses the least square method to solve the clock skew to achieve high-precision synchronization of the whole network. Simulation results show that compared with RBS, the time synchronization precision of ERBS is greatly improved and synchronization times are greatly reduced, decreasing energy consumption significantly.http://dx.doi.org/10.1155/2020/8840367
collection DOAJ
language English
format Article
sources DOAJ
author Xianbo Sun
Yixin Su
Yong Huang
Jianjun Tan
Jinqiao Yi
Tao Hu
Li Zhu
spellingShingle Xianbo Sun
Yixin Su
Yong Huang
Jianjun Tan
Jinqiao Yi
Tao Hu
Li Zhu
Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
Wireless Communications and Mobile Computing
author_facet Xianbo Sun
Yixin Su
Yong Huang
Jianjun Tan
Jinqiao Yi
Tao Hu
Li Zhu
author_sort Xianbo Sun
title Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
title_short Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
title_full Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
title_fullStr Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
title_full_unstemmed Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs
title_sort edge computing-based erbs time synchronization algorithm in wsns
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2020-01-01
description In the practical application of large-scale photovoltaic module monitoring, adopting wireless sensor network (WSN) technology is a method worth researching. With increasing nodes in the wireless sensor network, widely existing clock skew, increased geometrically, is bringing about greater energy consumption. Due to the random distribution of nodes, in order to improve the transmission efficiency and reduce the computational load of the coordinator, the node processor needs to the use edge computing for preliminary analysis. This paper puts forward an improved energy-efficient reference broadcast synchronization algorithm (ERBS). This algorithm firstly calculates the average phase offset of nonadjacent nodes in the network after receiving a message. It then uses the least square method to solve the clock skew to achieve high-precision synchronization of the whole network. Simulation results show that compared with RBS, the time synchronization precision of ERBS is greatly improved and synchronization times are greatly reduced, decreasing energy consumption significantly.
url http://dx.doi.org/10.1155/2020/8840367
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