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.