The interference of working environment and internal system noise interference result in monitoring data quality of heterogeneous sensor network serious decline and cleaning efficiency is low

aiming at above problems

study sensor collaboration data cleaning algorithm based on sensitive perception of single node /multi-node heterogeneous switch. First of all

according to the internal structure and external perception characteristics external interference and internal interference analysis model is established

on this basis

propose data quality perception scheme based on sensitivity

followed by inheterogeneous collaborate mode combining state probability

establish sensor collaboration signal processing of data quality impact analysis model

finally based on sensitive perception with collaborative data processing technology

propose data collaboration and cleaning algorithm suitable for heterogeneous sensor networks. The experimental results show that the proposed cleaning solution has obvious advantages in energy efficiency

precision and data compression ratio.