Research On Multi-terminal Cooperative Indoor Location Technology Under The Environment Of Internet Of Things

Positioning technology as a bottom support of location-aware for the Internet of Things,whether it can be accurate or not is the critical factor for the Internet of Things to find a comprehensive solution and how to promote the services of location-aware precisely becomes an important part in its application.As most of the positioning technology exist some problems such as contributions,maintenance costs in the later period and power consumption,stability and accuracy,accurate positioning is facing some challenges.Generally speaking,if we want to provide high-precision indoor positioning in practice,there still exist following problems: 1)The indoor environment is complex and many obstacles,mobile production equipment and so on,they all change the dynamic network topology,which cause network structure irregular.2)Localization algorithm ignores the irregular situation appearing in network structure and directly estimates the location which results in positioning error.3)Indoor wireless signal spreads dynamically strong,and easily interfere,fluctuating sharply.In this thesis research,in order to deal with the problems we mentioned above and improve the performance of positioning with the goal of providing accurate indoor location service.In the application environment of Internet of Things,doing a research on multi-terminal positioning technology so as to achieve the goal of improving the positioning performance,respectively,to make efforts in the following aspects: 1)First of all,according to the existing environment of the Internet of Things,the wireless sensor network is developing rapidly.MDS-MAP localization algorithm of sensor node,and under this algorithm,the improved algorithm ignores the problems of anisotropic network circumstances positioning error of distance estimation matrix.So this paper proposes a new localization algorithm which based on the anisotropy of MDS sensor network node cooperative MDS-REP(PDM),by combining anisotropic network REP and product data management PDM algorithm through coordination between the unknown node and Beacon node localization,it can effectively solve the shortest distance matrix problem;2)Owing to the offline fingerprint database established phase fingerprint information is not accurate and the feature of real time response is not obvious,and during the period of online positioning,the matching effects of localization algorithm is not ideal.The wireless signal fingerprint positioning technology based on RSSI,puts forward the terminal co-location of optimization technology which rely on fingerprint,the technology makes use of the physical location and fingerprint spatial otherness characterization of mapping,through the terminal to collect more data real-time optimization of fingerprint database,according to the similarity between fingerprint signal,using the multidimensional scaling technique to locate can get coordinates for spotting terminal;3)Simulation results show that the proposed positioning method is effective.Under the application of Internet of Things and based on the cooperation of multiterminal,the research based on fingerprint between sensor nodes and wireless signal cooperation between multiple terminal positioning technology,through the reasonable use of multiple cooperating terminal and the data collecting for auxiliary positioning.After a large number of experimental simulations,it can verify the positioning performance is significantly superior to the corresponding indoor positioning system and get higher precision positioning effect so that it can better adapt to the positioning applications in the complicated indoor environment for the Internet of Things.