A Novel Localization Algorithm Based on RSSI and Multilateration for Indoor Environments

Indoor localization algorithms based on the received signal strength indicator (RSSI) in wireless sensor networks (WSNs) have higher accuracy than other range-free methods. This paper considers indoor multilateration and averaged (RSSI). We propose an approach called weighted three minimum distances method (WTM) to deal with poor of deduced from RSSI. Using a practical system, experimental channel model is assess performance proposed algorithm realistic conditions. Both simulated data measured are used verify method. Compared nonlinear least squares (NLS), Levenberg–Marquardt (LM) semidefinite programming (SDP), simulations show that exhibits better but consumes more calculation time.