A Novel Model of Node Location Service Based on Wireless Sensor Networks and Statistical Method

摘要

The real-time multi-hop location system (RMLS) is a kind of service systems with a great potential in the distributed applications. The RMLS provides the precise positioning information of each node relative to one or more beacon node(s); and their absolute positions can be determined from the information. This paper study a new positioning model based on the RMLS and it applies a statistical method to increase the location's precision and enhance the robustness of a time-of-arrive(TOA)-based location system. This model has the advantage to fix the errors caused from the non-line-of-sight (NLOS) and multi-path effect (MPE); and it could be used to provide a reliable and stable location-based service for the applications, such as the scenes of an emergent logistics management and a disaster-relief emergent positioning.