Research on Predictive Location Algorithm of Anti Theft and Early Warning Wireless Sensor Network Based on Optimized Algorithm

Author(s):  
Fenglin Li ◽  
Jian Ding ◽  
Bowen Li ◽  
Liangmin Zhang ◽  
Chihao Chen
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Chao Ma ◽  
Weiqi Chen ◽  
Yuge Tian

Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.


2017 ◽  
Vol 13 (07) ◽  
pp. 57
Author(s):  
Min Wang

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">For exploring wireless sensor network - a self-organized network, a new node location algorithm based on statistical uncorrelated vector (SUV) model, namely SUV location algorithm, is proposed. The algorithm, by translating the node coordinate, simplifies the solution to double center coordinate matrix, and gets the coordinate inner product matrix; then it uses statistical uncorrelated vectors to reconstruct the coordinates of the inner product matrix and remove the correlation of inner matrix of coordinates caused by the ranging error, so as to reduce the impact of ranging error on subsequent positioning accuracy. The experimental results show that the proposed algorithm does not consider the network traffic, bust still has good performance in localization. At last, it is concluded that reducing the amount of communication of sensor nodes is beneficial to prolong the service life of the sensor nodes, thus increasing the lifetime of the whole network.</span>


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