A scalable localization system for critical controlled wireless sensor networks

Optimal weighted K‐nearest neighbour algorithm for wireless sensor network fingerprint localisation in noisy environment

“…At present, the algorithms used for indoor fingerprint localisation mainly contain neural network algorithm, machine learning algorithm, pattern matching algorithm etc. [23–25]. The neural network algorithm is used to determine the mapping path between the input and output by training the existing data.…”

Multi‐channel fingerprint localisation algorithm for wireless sensor network in multipath environment

“…At present, algorithms used for fingerprint localisation include neural network algorithms, machine learning algorithms, and pattern matching algorithms [13–15]. Neural networks map a path between the input and output of an unknown system by training the algorithm using historical data.…”

Fingerprint localisation algorithm for noisy wireless sensor network based on multi‐objective evolutionary model

“…According to the information obtained by mining, the measured RSSI will be assigned to the corresponding fingerprint classification. The coordinates of the calibration point in this fingerprint classification are used as the estimated node position [19]. Like the neural network algorithm, the noisy RSSI is possible to make the fixed classification relationship established by the machine learning algorithm based on historical data invalid.…”