ANALYSIS OF THE INFLUENCE OF BIOCHEMICAL INDEXES OF ATHLETES UNDER TRAINING BASED ON THE INTERNET OF THINGS AND CLOUD COMPUTING

ABSTRACT For athletes under training, it is more efficient to use the Internet of Things (IoT) and cloud computing methods to collect and process biochemical indicators, and this study is about research based on the IoT and cloud computing technology for athletes under training. The problems are put forward in this study. The requirements of related algorithm design and the communication model properties are comprehensively analyzed. Scheduling the link and allocating the transmit power of the nodes are comprehensively considered, with design and analysis of wireless sensor network scheduling algorithm. The factors influencing the scheduling efficiency of the algorithm are analyzed, considering the node density and the influence of different power allocation schemes on the scheduling result. This study shows that the algorithm of this thesis can collect the biochemical index data of athletes during training period. As the number of nodes increases, the running results will gradually move towards the optimal value. This research study is of important theoretical significance for the application of IoT and cloud computing technology and the improvement of athlete training effect.</div

The evolution results of total contributions <i>Ts</i> and cooperation frequency <i>ρ</i> for different fractions of dedicators <i>f</i>₁.

(a) The evolution process of total contributions for different fractions of dedicators (f1 = 0, 0.06, 0.1, 0.14, 0.18, 0.22). (b) The evolution results of cooperation frequency for different fractions of dedicators (f1 = 0, 0.06, 0.1, 0.14, 0.18, 0.22). (c) The equilibrium results of total contributions and cooperation frequency for different fractions of dedicators (f1 = 0, 0.06, 0.1, 0.14, 0.18, 0.22).</p

Descriptions of relationships between some parameters.

Here θ1 = 0.2, δ = 0.5, θ2 = 0.2, θ3 = 0.2. (a) The dedicator’s probability of donating (fo) for different break time steps (t1) when Ti Tr has ever happened. (b) The extra cooperation probability (ω) for different time steps (t2) after dedicators’ donating behavior. (c) The extra defection probability (ϕ) for different successive times of poor performances (t3).</p

Results to show the mean, median, range and standard deviation of total contributions based on <i>θ</i>₁, <i>θ</i>₂ and <i>θ</i>₃.

(a)-(d) The result of mean, median, range and standard deviation of Ts for θ1, θ2 and θ3 varying from 0.1 to 1 with an interval of 0.1, respectively.</p

The evolution results of total contributions <i>Ts</i> and cooperation frequency <i>ρ</i> for different values of the donation threshold λ.

(a) The evolution process of total contributions for different values of donation threshold (λ = 0,0.2,0.4,0.6,0.8,1). (b)The evolution results of cooperation frequency for different values of donation threshold (λ = 0,0.2,0.4,0.6,0.8,1). (c) The equilibrium results of total contributions and cooperation frequency for different values of donation threshold λ varying from 0 to 2 with an interval of 0.2.</p

The evolution results of total contributions <i>Ts</i> and cooperation frequency <i>ρ</i> for different values of emotion coefficient <i>δ</i>.

(a) The evolution process of total contributions for different values of emotion coefficient (δ = 0.1,0.3,0.5,0.7,0.9). (b)The evolution results of cooperation frequency for different values of emotion coefficient (δ = 0.1,0.3,0.5,0.7,0.9). (c)The equilibrium results of total contributions and cooperation frequency for different values of emotion coefficient δ varying from 0.1 to 1 with an interval of 0.1.</p

The evolution results of total contributions <i>Ts</i> and cooperation frequency <i>ρ</i> for different values of budget <i>Tr</i>.

(a) The evolution process of total contributions for different budgets (Tr = 100, 300, 500, 700, 900). (b) The evolution results of cooperation frequency for different budgets (Tr = 100, 300, 500, 700, 900). (c) The equilibrium results of total contributions and cooperation frequency for different budgets from 100 to 1000 with an interval of 100.</p

Heat-maps of cooperation frequency <i>ρ</i> at equilibrium along 2D plain based on positive sustained coefficient <i>θ</i>₂ and emotion coefficient <i>δ</i>.

All kinds of colors represent various cooperation frequency under the joint action of different θ2 and δ. The X-axis is δ (from 0 to 1) and the Y-axis is θ2 (from 0 to 1).</p

The definitions and descriptions of parameters.

The definitions and descriptions of parameters.</p

The equilibrium results of total contributions <i>Ts</i> and cooperation frequency <i>ρ</i>.

(a) The equilibrium results of total contributions and cooperation frequency for different synergy factors (r = 1.2, 1.6, 2, 2.4, 2.8). (b) The equilibrium results of total contributions and cooperation frequency for different noise figure (ϕ = 0.1, 0.2, 0.3, 0.4, 0.5).</p