Self-Correcting Time Synchronization Based on Cross Layer for Wireless Sensor Network

2012 ◽  
Vol 220-223 ◽  
pp. 1871-1876
Author(s):  
Feng Mei Liang ◽  
Bin Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Time Synchronization ◽  
Mac Protocol ◽  
Physical Layer ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Synchronization Mechanism ◽  
Synchronization Algorithm ◽  
Crystal Oscillation

Due to energy restrictions, node distribution density and hardware computing power etc., the traditional time synchronization mechanism is not suitable for wireless sensor network. The paper discussed the main reason that caused asynchronization and proposed an improved time synchronization algorithm based on cross layer optimization for wireless sensor network. Considering the stability of crystal oscillation and the linearity of crystal deviation in the physical layer, the improved time synchronization mechanism implemented a self-correction by the cross-layer MAC protocol. Estimating the crystal oscillation drift, the crystal deviation had been self-corrected just by a few times data broadcast. The experiment on the MCU Si1000 physical layer platform has demonstrated the practicability of the algorithm. The synchronization algorithm is able to keep a stable network operation in the way of extending the synchronization period and reducing the synchronization cost. The synchronization mechanism is applicable to the active acquisition network, especially the realtime one.

scholarly journals An Improved Time Synchronization Algorithm for Wireless Sensor Networks

2017 ◽  
Vol 13 (05) ◽  
pp. 67
Author(s):  
Jihong Sun ◽  
Huanzheng Shao
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Technical Problems ◽  
Advantages And Disadvantages ◽  
Network Cost ◽  
Synchronization Algorithm

Wireless sensor network (WSN) has been paid more and more attention to by the international academic and industrial fields. What’s more, it has become a hot research topic with great attention and expectations. There are a lot of technical problems involved in wireless sensor networks, among which, time synchronization technology is one of the supporting technologies in wireless sensor networks. And it is rather essential for the application of wireless sensor network. Two classical time synchronization algorithms are introduced and their advantages and disadvantages are compared. Based on the existing algorithms, an improved time synchronization algorithm is put forward. The improved algorithm was simulated by NS2. The results showed that the proposed algorithm had better time synchronization accuracy and lower network cost than RBS and TPSN algorithm. In summary, the improved time synchronization algorithm has a rather good performance.

The Research of WSN Time Synchronization Algorithm Based on Clustering Network

2012 ◽  
Vol 157-158 ◽  
pp. 1340-1345 ◽  
Author(s):  
Yuan Yuan Shang ◽  
Zhou Wan ◽  
Xue Hua Zhang ◽  
Zhong Guo Jing ◽  
Xin Xiong
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Time Synchronization ◽  
Wireless Transmission ◽  
Wireless Sensor ◽  
Simulation Platform ◽  
Synchronization Problem ◽  
Synchronization Algorithm ◽  
Message Mechanism

In order to solve time synchronization problem of wireless sensor network, combined with the broadcast characteristics of wireless transmission and bi-directional message mechanism and the characteristics of clustering network, this paper presents an improved time synchronization algorithm HLTN based on clustering network and the simulation experiment by NS-2 simulation platform and analyzed the results.

scholarly journals Edge Computing-Based ERBS Time Synchronization Algorithm in WSNs

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xianbo Sun ◽  
Yixin Su ◽  
Yong Huang ◽  
Jianjun Tan ◽  
Jinqiao Yi ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Time Synchronization ◽  
Edge Computing ◽  
Least Square ◽  
Wireless Sensor ◽  
Photovoltaic Module ◽  
Clock Skew ◽  
Synchronization Algorithm

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.

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