Application of Heterogeneous Clustering Routing Algorithm based on Interval II TSK Fuzzy System in Voice Wireless Sensor Network

Wireless sensor network is an important means for human data collection and environmental monitoring, and there are problems such as large cluster head selection cost, unbalanced node energy consumption, and short network life cycle in large-scale voice wireless sensor network. Based on this, a non-uniform clustering routing protocol based on interval II TSK fuzzy system is proposed. On the basis of the traditional protocol, the interval boundary of the membership degree is set for the determinants Ei, Ni and Pi of the average energy formula of network nodes, and the network clustering is optimized. In the scheduling process, the time slot is used for data collection, and the dimensionality reduction operation is used to improve the data transmission efficiency. With the help of fuzzy model, the competitive radius and cluster head level decisions are optimized, which effectively reduces the network energy overhead and achieves the purpose of energy consumption balance. Finally, on the MATLAB platform, the network clustering, average node energy consumption, node survival number and other indicators are better than other algorithms, and the simulation verifies that the design scheme can effectively balance the energy consumption of nodes and extend the life cycle of the entire network