Open AccessResearch on energy-saving algorithm of wireless sensor network based on penalty error matrix
Author(s) -
Ping Zhang,
Meiqing Liu,
Shoichi Kai,
Shuhuan Han,
Wei Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1738/1/012072
Subject(s) - exponential smoothing , smoothing , algorithm , computer science , energy (signal processing) , matlab , range (aeronautics) , energy consumption , matrix (chemical analysis) , wireless sensor network , exponential function , mathematical optimization , mathematics , engineering , statistics , computer network , mathematical analysis , materials science , electrical engineering , composite material , computer vision , aerospace engineering , operating system
Taking into account this problems of large data volume, high frequency, and fast energy consumption in data transmission and reception of wireless sensor networks, an energy-saving algorithm based on a penalty error matrix is adopted to reduce network energy consumption. By introducing a penalty error matrix in the adaptive cubic exponential smoothing algorithm, using the principle of the minimum sum of squares of error to track the time series in real time, adjusting and obtaining the optimal smoothing coefficient in time, and it has strong adaptability to data with a large fluctuation range. The MATLAB simulation experiment results show that when the time slot range is 1500, compared with the traditional cubic exponential smoothing algorithm and the adaptive cubic exponential smoothing algorithm, the energy saving effect and prediction accuracy of this algorithm are significantly improved.