Literature DB >> 24287323

Study of consensus-based time synchronization in wireless sensor networks.

Jianping He1, Hao Li1, Jiming Chen1, Peng Cheng2.   

Abstract

Recently, various consensus-based protocols have been developed for time synchronization in wireless sensor networks. However, due to the uncertainties lying in both the hardware fabrication and network communication processes, it is not clear how most of the protocols will perform in real implementations. In order to reduce such gap, this paper investigates whether and how the typical consensus-based time synchronization protocols can tolerate the uncertainties in practical sensor networks through extensive testbed experiments. For two typical protocols, i.e., Average Time Synchronization (ATS) and Maximum Time Synchronization (MTS), we first analyze how the time synchronization accuracy will be affected by various uncertainties in the system. Then, we implement both protocols on our sensor network testbed consisted of Micaz nodes, and investigate the time synchronization performance and robustness under various network settings. Noticing that the synchronized clocks under MTS may be slightly faster than the desirable clock, by adopting both maximum consensus and minimum consensus, we propose a modified protocol, MMTS, which is able to drive the synchronized clocks closer to the desirable clock while maintaining the convergence rate and synchronization accuracy of MTS.
© 2013 ISA. Published by ISA. All rights reserved.

Entities:  

Keywords:  Consensus-based time synchronization; Experimental study; Maximum and minimum consensus; Wireless sensor networks

Year:  2013        PMID: 24287323     DOI: 10.1016/j.isatra.2013.11.001

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

1.  Cluster-Based Maximum Consensus Time Synchronization for Industrial Wireless Sensor Networks.

Authors:  Zhaowei Wang; Peng Zeng; Mingtuo Zhou; Dong Li; Jintao Wang
Journal:  Sensors (Basel)       Date:  2017-01-13       Impact factor: 3.576

2.  Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks.

Authors:  Zhaobin Liu; Qiang Ma; Wenzhi Liu; Victor S Sheng; Liang Zhang; Gang Liu
Journal:  Sensors (Basel)       Date:  2018-06-30       Impact factor: 3.576

  2 in total

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