Indoor and Outdoor Seamless Positioning Based on Snake Optimization Algorithm

Aiming at the problems of discontinuous positioning and low positioning accuracy in indoor and outdoor environments, a seamless indoor and outdoor positioning method based on Snake Optimization Algorithm (SOA) is proposed. This method realizes accurate indoor and outdoor switching positioning by fusing global positioning system (GPS) and wireless local area network (WIFI) signals. GPS positioning is used outdoors, WiFi fingerprint is used indoors, and indoor and outdoor weighted fusion algorithm based on snake optimization (SO) algorithm is used for indoor and outdoor transition areas to realize the fusion of indoor and outdoor positioning data. The simulation results show that the average error of this algorithm is reduced by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15 \%, 25 \%, 31 \%, 27 \%$</tex> and 27% respectively compared with particle swarm optimization, WKNN, simulated annealing algorithm, ant colony algorithm and genetic algorithm.