Coal mine underground localization method based on wireless access point selectio

For problem of low localization accuracy of quantum particle swarm optimization-sequence based localization (QPSO-SBL) method, a wireless access point(AP) selection algorithm based on information gain was used to optimize QPSO-SBL method, and a coal mine underground localization method based on wireless AP selection was proposed. In the method, all APs are ranked in descending order according to comprehensive identifiability of AP, and the first k APs are chosen to form an available AP set. The available AP set is considered as input of QPSO-SBL method, and localization results are obtained by QPSO-SBL method. The test results show that compared with QPSO-SBL method, the average localization error of the coal mine underground localization method based on wireless AP selection is reduced by 10.2% with stronger stability and better localization effect.