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Application of Wireless Sensor Technology in the Training of Martial Arts and Specification Motion Detection

机译:无线传感器技术在武术训练中的应用及规范运动检测

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With the development of the computer wireless communication technology, wireless sensor detection is being widely applied to engineering practice. Combined with the advantages and disadvantages of the two algorithms LEACH and PEGASIS, this paper proposes a new algorithm BEAHR algorithm. At the same time, this paper establishes mathematical model algorithm of wireless network detection energy consumption for BEAHR algorithm. Finally, this paper calculates the numerical value of the three algorithms LEACH, PEGASIS and BEAHR by using the general numerical simulation software of MATLAB software. Through the numerical simulation experiments, it is found that with the increase of time, the average energy consumption of three algorithms will also be increased. Among them, the fastest increase of energy consumption is LEAC. However, the energy consumption of BEAHR algorithm is small. When the time is 1000 s, power consumption is 0.5 J, which verifies the validity and reliability of BEAHR algorithm and proves that BEAHR algorithm has the excellent performance to save energy and improve the network life cycle.
机译:随着计算机无线通信技术的发展,无线传感器检测被广泛应用于工程实践。结合两种算法Leach和PEGASIS的优点和缺点,本文提出了一种新的算法BEAHR算法。同时,本文建立了Beahr算法的无线网络检测能耗的数学模型算法。最后,本文通过使用MATLAB软件的通用数值模拟软件计算三种算法浸出,PEGASIS和BEAHR的数值。通过数值模拟实验,发现随着时间的增加,三种算法的平均能耗也将增加。其中,能量消耗的最快增加是LeaC。然而,BeaHR算法的能量消耗很小。当时间为1000秒时,功耗为0.5 j,这验证了Beahr算法的有效性和可靠性,并证明了BeaHR算法具有优异的节能性能,提高网络生命周期。

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