Research And Application On RSSI Localization Algorithm For Wireless Sensor Network

Wireless sensor network is one of the most important technologies in the 21st century. The use of sensor networks for positioning and tracking has great significance and a wide range of application. It is widely used in military reconnaissance, environmental monitoring, health, and industrial business fields. Localization technology is one of the key support technologies of wireless sensor network, which has great influence in the deployment of coverage, topology control, routing communication and target tracking. Also it has permeated all aspects of wireless sensor network technology research.Based on the background of mine safety monitoring system, this paper analyzes the RSSI node self-localization algorithm in detail, which has the problems of multi-path effect, environmental factor, estimating deviation, anchor nodes uneven deployed and reconstruction relational database, all of this result in low positioning accuracy and high cost of calculation. This paper improves the RSSI localization algorithm, integrates the idea of one-dimensional linear positioning, and proposes to use distance ratio method for locating unknown nodes. The improve algorithm's main principle is to receive signal of wireless sensor nodes to calculate the distance between nodes and base stations and carry out empirical analysis of the distance ratio to reflect the distance between the node location. The improved algorithm uses different measuring methods, and makes it more suitable in mine roadway and mining face one-dimensional linear environment. In the end. on the condition of one dimension, we carry out the MATLAB algorithms emulate and Mica2 node experiment, and results show that the improved algorithm is more adaptive to the environment changing. The positioning accuracy is almost not changed when the environment changes. The result has shown good reliability and applicability.