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Volume 44 Issue 8
Aug.  2022
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WANG Yijun, QIAN Zhihong. Adaptive and Efficient Time Synchronization Optimization Algorithm in Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2802-2813. doi: 10.11999/JEIT210533
Citation: WANG Yijun, QIAN Zhihong. Adaptive and Efficient Time Synchronization Optimization Algorithm in Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2802-2813. doi: 10.11999/JEIT210533

Adaptive and Efficient Time Synchronization Optimization Algorithm in Wireless Sensor Networks

doi: 10.11999/JEIT210533
Funds:  The National Natural Science Foundation of China (61771219, 61540022), Jilin Provincial Development and Reform Commission Industrial Technology Research and Development Project (2019C036-7)
  • Received Date: 2021-06-07
  • Accepted Date: 2022-01-14
  • Rev Recd Date: 2021-12-31
  • Available Online: 2022-02-03
  • Publish Date: 2022-08-17
  • To solve the problem of low efficiency for multiple-hop adaptive time synchronization in Wireless Sensor Networks (WSN), an Adaptive and Efficient time synchronization Optimization (AEO) algorithm is proposed based on receiver-receiver time synchronization model. Firstly, in pairwise time synchronization, slave node receives the synchronization message from reference node and confirmed. After the synchronization period, the time correction is realized by fitting estimation and data update. Then the interactive parameter synchronization package is constructed. The slave node exchanges interactive parameter synchronization package with the master to realize pairwise synchronization. Secondly, the Voronoi polygon topology is established. The network also identifies the IDentification (ID) of reference nodes and neighbor nodes in the topology. The coverage area of reference nodes exchange synchronization information by neighboring nodes to realize adaptive regions joint time synchronization. The simulation results show that the algorithm has less synchronization errors and lower network energy consumption in pairwise time synchronization. Meanwhile, the Voronoi topology improves connectivity efficiency and convergence time compared with other typical topologies.
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