A Sensor Node Localization Algorithm Based on Fuzzy RSSI Distance

Abstract:

The node self-localization is the basis of target localization for wireless sensor network (WSN), the WSN nodes localization algorithms have two types based on distance and non distance. The node localization based on RSSI is simple and widely used in application. According to the traditional WSN nodes localization algorithm, the RSSI signal intensity changes greatly and with nonlinearity. And it is converted into distance feature with a large deviation, which leads to inaccurate positioning and localization. In order to solve this problem, a sensor node localization algorithm is proposed based on fuzzy RSSI distance. The nodes information is collected based on RSSI ranging method. And the location information is processed with fuzzy operation. The disturbance from the environmental factors for the positioning is solved. The accuracy of the node localization is improved. Simulation result shows that this algorithm can locate the sensor nodes accurately. The localization accuracy is high, and the performance of nodes localization is better than the traditional algorithm. It has good application value in the WSN nodes distribution and localization design.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 989-992
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.989
• Online since: March 2014
• Authors: Xiao Qin Li*, Guang Rong Chen
• Keywords: Fuzzy RSSI Distance, Localization, Wireless Sensor Network (WSN)

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