Node Optimization Localization Model Simulation of Complex Biological Sensor Network

According to the need of the positioning of complex biological sensor network node and data monitoring, a biological sensor network model is constructed, the fusion augmenting quantization algorithm is designed based on strong tracking filtering algorithm, the algorithm uses pre attenuation through the change tracking signal power dynamic, sensor fusion center is computed to get the final node localization state information matrix, with strong tracking filter, it can improve anti-interference ability, achieve node localization in sensor network model for improvement. Simulation results show that this algorithm is used for complex biological sensor network node location, it can effectively improve the accuracy of node positioning, positioning error is small, it has fast positioning time, the robustness and anti-interference performance is better.