## 2 Evaluation Indices and Data Acquisition
### Data Preprocessing  
According to the definition of evaluation indexes in Table 1, the calculation model of each index is as follows. (1) The information encryption intensity reflects the degree of correlation between the encrypted information and the original information. In this study, the weighted sum of the three parameters of channel encryption algorithm complexity, encryption key length and key update cycle was calculated. The calculation model is shown as follows:  
\[X1=\omega_{1}\frac{\alpha_{cpl}}{3}+\omega_{2}\frac{\alpha_{len}}{4}+\omega_{3 }\frac{t_{\max}-t_{cyc}}{t_{\max}-t_{\min}}\ \ \ \omega_{1}+\omega_{2}+\omega_{3}=1 \tag{3}\]  
where \(\alpha_{cpl}\) represents the category of encryption algorithm, three different algorithms (DES, 3 DES and AES) can be selected and the corresponding assigned value is from 1 to 3. \(\alpha_{cpl}\) represents the length of the encryption key, which can be selected as 56, 64, 128 and 256, and the corresponding values are assigned 1-4. \(t_{cyc}\) represents the key update cycle and \(t_{\min}\) and \(t_{\max}\) represent the longest and shortest cycle of key update, which are 2 and 24 in this paper. \(\omega_{1}\), \(\omega_{2}\), \(\omega_{3}\) represent the weight of the three indexes, which can be artificially specified or obtained by AHP and other methods [49]. (2) The network throughput reflects the data transmission volume of the whole network per unit time. In this study, in order to remove the influence caused by the different number of users, the total amount of information sent by all nodes is counted and then divided by the total number of users. The calculation model is shown as follows:  
\[X2=\frac{1}{nT}\sum_{i=1}^{n}C_{output^{i}} \tag{4}\]  
where \(C_{output^{i}}\) represents the information sent by node \(i\), \(n\) is the total number of nodes in the network and \(T\) is the total working time. (3) The end to end average delay reflects the efficiency of information transmission from each source node to the sink node. Since there are different levels of users in a tactical mobile network, the influence of information delay loss among different levels of users is different. The influence of information transmission delay between backbone node networks in network operation is related to its importance in the network. Data processing in this paper is divided into two types of nodes. For the Command and Control (C2) network and detachment network nodes, the weighted calculation is carried out according to the level of source and sink nodes. For the backbone nodes, the weighted calculation is carried out according to the link numbers of source and sink nodes. The calculation model is shown as follows. \[X3=\omega_{1}\sum_{i=1}^{n_{C2}+n_{Dc}}\sum_{j=1}^{rn_{i}}\frac{s_{s}^{j}+s_{ d}^{j}}{16}t_{delay}^{j}+\omega_{2}\sum_{i=1}^{n_{Rc}}\sum_{j=1}^{rn_{i}} \frac{c_{s}^{j}+c_{d}^{j}}{2\times c_{\max}}t_{delay}^{j}\ \ \ \omega_{1}+\omega_{2}=1 \tag{5}\]  
\(n_{C2}\) represents the number of C2 nodes, \(n_{De}\) represents the number of access nodes in detachment network, \(n_{BK}\) represents the number of backbone network nodes, \(ren_{i}\) represents the total number of data packets received by node \(i\), \(s_{s}^{j}\) represents the level of the source node of the packet \(j\) and \(s_{d}^{j}\) represents the level of the sink node of the packet \(j\). According to the level of troop establishment, there are eight levels altogether; thus, the maximum level of transceiver node sum is 16. \(t_{delay}^{j}\) represents the delay of the packet \(j\), \(c_{s}^{j}\) represents the connection number of the packet \(j\) source node, \(c_{d}^{j}\) represents the connection number of the packet \(j\) sink node and \(c_{\max}\) represents the maximum connection number of the backbone node. \(\omega_{1}\) and \(\omega_{2}\) represent the weight of two types of networks, which can be artificially specified or obtained by AHP and other methods.