Adaptive high-speed data acquisition algorithm in sensor network nodes

作者：Qiu Zhijin; Guo Zhongwen^*; Liu Chao

来源：Journal of Southeast University(Natural Science Edition), 2012, 42(SUPPL2): 238-244.

DOI：10.3969/j.issn.1001-0505.2012.S2.003

• Algorithm performance
• Collection efficiency
• Communication delays
• Delay characteristics
• Experimental verification
• High speed data acquisition
• High-speed acquisitions
• Probability densities

In order to solve the problem that the current acquisition algorithm occupies more central processing unit (CPU) resources under the circumstance of high-speed acquisition, on the basis of comparing the advantages and disadvantages of traditional acquisition methods, a great deal of data about the communication delay in data collection are obtained by means of the experiments in simulating data acquisition. By analyzing the visualization data and solving the variance and the maximum, minimum, and average values of the data, the probability density of the communicating time is obtained and the dynamic delay characteristics of data collection are given. And on this basis, a data collection algorithm is proposed, which is more stable and more efficient. The algorithm performance in terms of theoretical analysis and experimental verification are compared and analyzed. The results show that the proposed algorithm can greatly reduce the usage of the CPU and the energy consumption, and, meanwhile, assure collection efficiency, thus greatly improving the life cycle of sensor networks.

• 出版日期2012