关键词: 固态发酵无线测温系统, 差分进化算法, 能量差异化匹配, 非均匀分簇, 网络生存周期

Abstract: To overcome the problems of uneven energy consumption and premature death caused by the restrictions of sensor node position and energy in the wireless temperature measuring system of solid state fermentation, a novel optimization algorithm, named as new uneven clustering algorithm, which is based on differential evolution method is presented in this paper. In the new algorithm, considering the system stability, a fixed number of cluster heads are selected at once and the node coverage rate is optimized by the differential evolution algorithm instead of the mechanism of frequent selected cluster each round in the LEACH protocol. Also, to extend the network’s life and distribute the initial energy of cluster head nodes and ordinary temperature nodes reasonably, the energy matching differentiation strategy is introduced. The simulation results show that this algorithm can effectively improve the problem of “hot spot” and balance the energy consumption, and the algorithm can be able to prolong the network lifetime in a certain extent.

Key words: wireless temperature measuring system of solid state fermentation, Differential Evolution（DE） algorithm, matching strategy of energy difference, uneven clustering, network lifetime