A Data Collection Strategy for Heterogeneous Wireless Sensor Networks Based on Energy Efficiency and Collaborative Optimization
Algorithm 1
Pseudocode of cluster head selection strategy.
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Step 1: initialization of clustered data collection
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Step 2: select the cluster head
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net = net(X(n), M)//Create SOM, X(n) is the input vector, M is the number of neurons
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ISSA-SOM(,,n, N )//Set parameters and variables, , are the weight, n is the number of training times, N is the number of network training times
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for i, j in(M, n)//Set variable
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{if j == 0//initialization
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else }
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for k, l in(M, n)//initialization
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{if (k == l) = 1
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else
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for (i = 1, i < M, i++)
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{Call Distance ()
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Call Energy()
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Call Countnodenumber ()//Count the number of neighbor nodes
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Broadcast(Dis, Ei, Ni)//The node transmits the distance to the base station Dis, the node’s remaining energy Ei and the number of neighbor nodes Ni to the base station
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for i, j in(M, n)
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yk(0) = f1(s)//Calculate the output result of the input layer }
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for (i = 1, i < M, i++)
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for (j = 1, j < N, j++)
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{call OutputVector()//Calculate the result of the output layer }
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if(The output results meet the expected requirements)
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{ Cluster-head = output()//The output result represents the set of heterogeneous sensor nodes selected as the cluster head
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//Update the weight vector }
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else
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{ n1 = n1 + 1
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goto step 20 }
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goto step 14
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else end net()//End cluster head selection
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Step 3: the formation of clusters is calculated by the number of clusters.
