Abstract
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.
Highlights
Wireless sensor network (WSN) is a distributed system, and the problem of time synchronization is an integral part that cannot be ignored of all distributed systems [1]
Each node has its own local clock, and Internet users often need to know the specific time of an event, so when it is necessary to provide the time of events, all the clocks of the nodes have to be consistent
Based on the classic wireless sensor network time synchronization algorithm, we summarize the synchronization error and energy consumption factors, and design an improved time synchronization algorithm, that is, clustering-based low energy consumption time synchronization (CLECTS)
Summary
Wireless sensor network (WSN) is a distributed system, and the problem of time synchronization is an integral part that cannot be ignored of all distributed systems [1]. Since that there is the clock skew between different nodes, it is necessary to use time synchronization techniques to provide consistent time standards for different nodes. Each node has its own local clock, and Internet users often need to know the specific time of an event, so when it is necessary to provide the time of events, all the clocks of the nodes have to be consistent. Wireless sensor networks need to make a real-time information collection for the monitoring of the target, and most of sensors can only monitor a feature of the objects. Data fusion and collaborative processing often require that the data collected by different nodes is uniform in time, so time synchronization is essential [2,3]. The results showed that the proposed algorithm had better time synchronization accuracy and lower network cost than RBS and TPSN algorithm
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