DocumentCode :
605272
Title :
An Improved Low Power Time Synchronization Algorithm for WirelessHART Network
Author :
Zhang Sheng ; Wang Xuanzhao ; Li Dongdong
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Shenzhen, China
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
672
Lastpage :
676
Abstract :
The paper introduces an improved low power time synchronization algorithm operating Kalman filtering and frequency deviation compensation for WirelessHART sensor networks and simulates in the single-hop and whole-network situation. The communication between nodes with WirelessHART communication is performed by using timeslot unit of 10ms precision. It is crucial to ensure that there is no time deviation during the communication so that the network can operate normally in such a short timeslot. The simulation results show that the proposed time synchronization algorithm is efficient and effective for our target WirelessHART network system. In contrast with the currently used algorithm, the time deviation after 20 times of synchronization is reduced approximately 33% by using the improved synchronization algorithm in the single-hop test, and the error variance is significantly decreased in the whole network time synchronization as the hop number increases.
Keywords :
Kalman filters; synchronisation; wireless sensor networks; Kalman filtering; WirelessHART sensor networks; error variance; frequency deviation compensation; low power time synchronization algorithm; single-hop situation; single-hop test; whole-network situation; Approximation algorithms; Kalman filters; Logic gates; Synchronization; Time-frequency analysis; Topology; Wireless sensor networks; Kalman filtering; WirelessHART; frequency deviation compensation; low-power; time synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.35
Filename :
6527499
Link To Document :
بازگشت