A New Three-Dimension Spatial Location Algorithm Of Wireless Sensor Network

Abstract

Aiming at three-dimensional space localization problem in wireless sensor network, a method of three-dimensional centroid algorithm with spherical perception radius (3DCSPR) is proposed. The algorithm uses Gaussian probability density function to estimate the sensor node radius, and uses tetrahedron method and three-dimensional center to locate unknown node with estimated. Firstly, RSSI value between beacon nodes and destination node is selected by RSSI distribution density function, that confidence interval of nodes perception radius is estimated. Secondly, satisfied tetrahedron is got by the intersections sphere coverage of beacon nodes in three-dimensional. Finally, destination node localization is calculated with weighted centroid in three-dimensional. Simulation results show that the proposed method can significantly reduce positioning errors in three-dimensional network environment in reality and can be widely applied to many fields.

Performance Analysis of Wireless Location and Velocity Tracking of Digital Broadcast Signals Based on Extended Kalman Filter Algorithm

“…e ground broadcasting base station adopts the single frequency network design networking; each base station equipment uniformly receives and forwards the mobile broadcast signal from the medium orbit broadcast satellite. Each base station atomic clock is used as the reference clock, and the GPS multistation common view technology is used for accurate time correction, to ensure the accurate time synchronization accuracy of each base station in the SFN better than 15 ns [9]. Digital broadcasting positioning system is shown in Figure 1.…”

Tracking and Automating a Library System Using Radio Frequency Identification Technology

“…RSSI utilizes the power loss value received from the passive RFID tag, as explained in the next section, a single reader antenna may be able to determine the range of a tag based on the RSSI indicator, which is proven by the simulation model built in section ΙV [36][37].…”

“…It will utilize all the services in the layers below to track the library items and display the items' information to the librarian or the library user in graphical and useful format. RSSI-based localization [36] has attracted considerable attention due to its simplicity and low cost [32]. RSSI utilizes the power loss value received from the passive RFID tag, as explained in the next section, a single reader antenna may be able to determine the range of a tag based on the RSSI indicator, which is proven by the simulation model built in section ΙV [36][37].…”

A Survey on Organization and Positioning of Nodes in Wireless Sensor Network

“…In three-dimensional space, the localization problem can be abstracted as a threedimensional sphere coverage issue. [22] When deploying an indoor 3D WSN, it is important to be able to determine positions of the sensor nodes that achieve the fullcoverage of the target space and the connectivity between the sensor nodes with the minimum deployment cost. The sensor node deployment problem for 3D coverage and connectivity is NP-hard even without obstacles in the target field [23].…”