Abstract: In order to effectively control the energy consumption of wireless sensor network nodes, we proposed an adaptive fuzzy neural control system, and designed an adaptive fuzzy neural topology control algorithm[CD2]AFNTC. In this algorithm, the parameters of fuzzy controller were obtained after training by artificial neural network, and the communication range of the nodes was constantly adjusted through the feedback and circulation to control the transmission power of the node, so that the actual energy consumption of the node was close to the preset expected value, and the network life cycle was prolonged. Experimental results show that AFNTC algorithm can achieve the purpose of controlling energy consumption of nodes. Compared with FCTP and LMA algorithms, the nodes have lower and more stable average energy consumption in AFNTC algorithm.

Key words: artificial neural network, topology control, energy consumption control, fuzzy control