Algorithm 1 CMNC

Input:

data content δ,

the channel set $C=\{C_1,C_2,\dots ,C_N\}$,

the class set $\omega =\left\{{\omega }_1,{\omega }_2,\dots ,{\omega }_M\right\}$

Output:

the transmission strategy in the millimeter-meter network

1:  for the sensor node $D_S\in D$ do

2:   for the sensor node data x do

3:       extract data content δ from the sensor node

4:   end for

5:  end for

6:  for the sensor node $D_S\in D$ do

7:   for the data content δ do

8:       compare to the training set $(\vartheta ,L)$ using Equations (18), (19), (20)

9:   end for

10:  end for

11:  calculate the combination of the BPA and the belief function of the sensor node $D_S$ by Equations (24), (25)

12:  for the sensor node $D_S\in D$ do

13:   for the data content δ do

14:       get the maximize belief function as the basis of assigning class by Equation (28)

15:   end for

16:  end for

17:  get the class label $\epsilon (D_S)$ by Equation (30)

18:  for the class set $\omega =\left\{{\omega }_1,{\omega }_2,\dots ,{\omega }_M\right\}$ do

19:   for the channel set $C=\{C_1,C_2,\dots ,C_N\}$ do

20:       compare the number of channels and classes

21:       if $M>N$ then

22:             running the high response priority assignment method

23:             calculate the $Priority$ of the class by using Equation (32)

24:       else

25:             sequentially assigned to channel

26:       end if

27:   end for

28:  end for

29:  assign the channel to the corresponding class

30:  for each class ω do

31:   for the sensor node D belongs to the same class do

32:       get the neighborList

33:       if neighborList[$\mu ,\nu$] = 1 then

34:             some data have been gotten

35:       else

36:             some data have not been gotten

37:       end if

38:   end for

39:  end for

40:  obtain the data to be transferred $x_1,\dots ,x_n$

41:  generate a random linear encoding package $X_i=\varsigma x={\varsigma }_1{x}_1+{\varsigma }_2{x}_2+,\dots ,+{\varsigma }_n{x}_n$

42:  for each class ω do

43:   for the sensor node D belong to the same class do

44:       transmit the linear encoding package

45:       if the receiver gets enough $X_i$ then

46:             decoding package and gets the original data $x_i$

47:       else

48:             continue to receive $X_i$

49:       end if

50:   end for

51:  end for