An Energy Efficient Proposed Framework for Time Synchronization Problem of Wireless Sensor Network

2016 ◽  
pp. 377-385 ◽  
Author(s):  
Divya Upadhyay ◽  
P. Banerjee
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Synchronization Problem

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 Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772092734
Author(s):  
Xianbo Sun ◽  
Yixin Su ◽  
Yong Huang ◽  
Jianjun Tan ◽  
Jinqiao Yi ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Power Plant ◽  
Sensor Network ◽  
Energy Efficient ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Photovoltaic Module ◽  
Photovoltaic Modules ◽  
Photovoltaic Power ◽  
Synchronization Algorithm

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.

A Statistical Tool for Time Synchronization Problem in WSN

2019 ◽  
Vol 13 (2) ◽  
pp. 154-158 ◽  
Author(s):  
D. Upadhyay ◽  
A.K. Dubey ◽  
P.S. Thilagam
Keyword(s):  
Probability Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Message Passing ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Maximum Probability ◽  
Statistical Tool ◽  
Synchronization Problem ◽  
Best Value

Background: In recent research, time synchronization has a great importance in the various application of wireless sensor network. Localization, tracking, message passing using contention-based schemes and communication are some of the fields where synchronization between sensor clocks is highly required. Therefore, several algorithms were designed to achieve a rational and reliable frame of time within the wireless sensor network. Patents related to time synchronization in WSN were also analyzed. Methods: This paper discusses the powerful statistical tool using maximum probability theory for synchronizing the time within the sensor's clock. In this paper, maximum probability theory is applied to estimate the best value of clock offset between two sensor clocks. The proposed algorithm is analyzed by exchanging timing messages between nodes using two-way message exchange schemes. Results: The proposed algorithm is also implemented along with a Time-Sync Protocol for Sensor Network. It reduces error deviation from 2.32 to 0.064 ms as compared with Time-Sync Protocol for Sensor Network without proposed works. Conclusion: It was observed that for a small network, proposed work gives better and efficient results with Time-Sync Protocol for Sensor Network.

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