Markovian model based indoor location tracking for Internet of Things (IoT) applications

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

“…For example, P. Álvarez and N. Hernández and Fco Javier Fabra and M. Ocaña [ 45 ] tested their Cloud-based location and tracking system in a scenario of 562,000 m 2 , Liu et al [ 116 ] implemented their indoor navigation platform in three environments, a supermarket of 1000 m 2 , a shopping mall of 20,000 m 2 and an office building of 800 m 2 . Sujin et al [ 121 ] evaluated their system in an area of 144 m 2 .…”

“…Localisation [ 7 , 10 , 16 , 42 , 58 , 72 , 75 , 76 , 82 , 107 , 110 , 114 , 121 , 125 , 126 ]: Similar to position, localisation aims to provide better localisation accuracy by combining different techniques, technologies, and algorithms. In the current studies, localisation techniques have been used to locate people in different environments such as shopping malls, universities, hotels, among others.…”

“…In order to provide tracking services, the authors use certain algorithms and technologies. For example, Sujin et al [ 121 ] used a stochastic model, namely the Markov model, which is used for device tracking.…”

“…They also specified the geodetic system supported by their platform (GGRS87 or EGSA87 and WGS84 [ 95 ]). In most of the cases, third-party maps are used in their applications, for instance, Google Maps [ 40 , 54 , 80 , 82 , 99 , 111 , 120 ], or custom maps [ 46 , 50 , 67 , 74 , 88 , 95 , 119 , 121 ].…”

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

“…Some of the research papers analysed, however, used only a single scenario for evaluation [55,38,44], and just a few articles tested their solutions in multiples scenarios, including outdoor environments [61,99,15,100]. The test area used in each research work also diers, with some cloud-based indoor positioning solutions being tested in areas of a few square meters, while others were tested in large areas of m , m , m , m [6,98,101].…”