Heterogeneous sensor collaboration data cleaning mechanism based on sensitive perception
Lin Xiao-ji · Transducer and Microsystem Technologies · 2015
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.