Research on Energy-efficient Time Synchronization Algorithm for Wireless Sensor Networks

2013 ◽  
Vol 34 (9) ◽  
pp. 2174-2179 ◽  
Author(s):  
Yi-jun Wang ◽  
Zhi-hong Qian ◽  
Gui-qin Wang ◽  
Xu Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Synchronization Algorithm

Research on Time Synchronization Algorithm in Wireless Sensor Networks

2011 ◽  
Vol 403-408 ◽  
pp. 1397-1400
Author(s):  
Ping Wang ◽  
Shi Wu Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Wireless Sensor ◽  
Advantages And Disadvantages ◽  
Synchronization Algorithm ◽  
Lower Complexity ◽  
Reduce Energy Consumption

Time synchronization is important for many applications in Wireless Sensor Networks, how to improve synchronization precision and reduce energy consumption are the two important aspects in Wireless Sensor Networks. In this paper, first, we introduce the TPSN and DMTS algorithms, after analyzing the advantages and disadvantages of both. Make use of two algorithms have been integrated. We proposed a DMSN time synchronization algorithm. Experiments show that ,comparing with the TPSN algorithm, DMSN algorithm has lower complexity and energy consumption．It can be easily applied in Wireless Sensor Networks．

Snowball Effect Time Synchronization Based on Energy Optimization for Wireless Sensor Networks

2012 ◽  
Vol 263-266 ◽  
pp. 866-871
Author(s):  
Gang Yang ◽  
Ming Fei Liang ◽  
Tian Tian Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Large Scale ◽  
Time Synchronization ◽  
Energy Optimization ◽  
Wireless Sensor ◽  
Synchronization Algorithm ◽  
Message Exchange ◽  
Effect Time ◽  
Snowball Effect

In large scale of WSNs (wireless sensor networks), a centralized algorithm is not suitable for WSNs. Distributed algorithm has the obvious advantage over traditional time synchronization algorithm. The paper proposes a distributed time synchronization algorithm for WSNs, called SNOWBALL effect time synchronization. In the algorithm, a node needs only to communicate with its neighbor node, synchronizing itself clock based on the neighbor nodes information. The algorithm is a continuous synchronization process. The network will reach balance and clock consistency after repeated algorithm iterations. In the algorithm, we achieve network energy optimization by reducing unnecessary message exchange.

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