Cluster-based and energy-efficient hierarchical time synchronization algorithm for multi-hop wireless sensor network

2013 ◽  
Vol 33 (2) ◽  
pp. 369-373 ◽  
Author(s):  
Yuxiu WANG ◽  
Jian HUANG ◽  
Xin SHI ◽  
Xiaogang WANG
2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092734
Author(s):  
Xianbo Sun ◽  
Yixin Su ◽  
Yong Huang ◽  
Jianjun Tan ◽  
Jinqiao Yi ◽  
...  

Since the working situation of photovoltaic modules cannot be tracked in the real time and defective components cannot be located and controlled specifically, a remote monitoring system of photovoltaic modules based on wireless sensor networks is designed to improve the management efficiency of photovoltaic power plants. The monitoring data (current, voltage, and illumination, etc.) of photovoltaic modules are collected by the wireless sensor network nodes in real time, and then, there are orderly transmitted to the coordinator and server by the ZigBee communication protocol with the time synchronization algorithm. Time synchronization algorithm based on Gaussian delay model performs best in synchronization accuracy and energy-efficient reference broadcast synchronization algorithm is the most advantageous in synchronization energy consumption. Adaptive energy–efficient reference broadcasting synchronization algorithm is proposed with a balance between energy consumption and accuracy, which is applicable to large networks and thus conducive to the application of wireless sensor network in large-scale photovoltaic module monitoring. With the analysis and processing of the received data, the situation of the photovoltaic modules can be accordingly judged and thus the information management of photovoltaic power plant can be realized. For a photovoltaic power plant with a total power output of 100 kW and with 400 photovoltaic modules, experimental results show that the overall efficiency of the photovoltaic power plant can be increased by a wide margin.


2012 ◽  
Vol 220-223 ◽  
pp. 1871-1876
Author(s):  
Feng Mei Liang ◽  
Bin Liu

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.


2017 ◽  
Vol 13 (05) ◽  
pp. 67
Author(s):  
Jihong Sun ◽  
Huanzheng Shao

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.


2012 ◽  
Vol 157-158 ◽  
pp. 1340-1345 ◽  
Author(s):  
Yuan Yuan Shang ◽  
Zhou Wan ◽  
Xue Hua Zhang ◽  
Zhong Guo Jing ◽  
Xin Xiong

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.


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