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Following the development of the 5G technology, wireless IoT communication is becoming reality. Therefore, how to cut the cost of energy in the channel transmission is coming to the forefront of the wireless IoT communication field. To solve this problem, a low energy consumption LDPC coding technology is presented. It includes two parts: a coding preprocessing system and LDPC coding system. The biggest problem of channel transmission is that the high and low levels in the signal change very frequently, which costs a lot of extra energy. In this paper, a scheme aiming at cutting the cost of the energy in channel transmission is presented. The frequency of signal’s changing between the low and high levels is decreased without any designs of complex coding algorithms. And with the amount of information increasing, the effect of decreasing the energy costs in the channel will be significant

With the rapid development in recent decades, the electric power communication network plays a more and more important role and needs to meet the requirements of higher reliability. But the increase of network scale heightens the risk of failure. In order to guarantee the operation of electric power communication network safely and reliably, the complex network theory is used to evaluate the topology structure of power communication network in this paper. The robustness and the performance function of the network are analyzed after the node attack, the static risk point of the network is determined and the topology of the network is optimized.

The electric power communication network is composed of communication devices and heterogeneous networks. In order to ensure the reliability and security of this large and complex network, which contains multi-technology and multi-layer, it is required to evaluate the security status of the electric power communication network. This paper carries out the technology of electric power communication network's security assessment. By analyzing the main factors affecting the safe operation of the communication network, we determine the appropriate safety evaluation index, and achieve the establishment of Electric Communication Network Security Assessment System based on the algorithm of Fuzzy AHP. We applied the Tianjin Electric Power Communication Network to the Security Assessment System, determine the assessment index and calculate the corresponding risk value.

In this paper, the neural network and fuzzy logic are introduced to the grinding process to prediction and control workpiece size. Dynamic Elman neural network is used in the prediction model. We modified the hidden layer structure, and the first and the second derivative of the actual amount removed from the workpiece are added into the network input, which can greatly improve the prediction accuracy. A fuzzy control model with flexible factor is used to control workpiece size. Simulation and experiment verify that the developed prediction control model is feasible and has high prediction and control precision.