2018 Vol.1 Jun No.3

• Title: A Sensor Node Localization Algorithm Based on Fuzzy RSSI Distance
• Name: Slivester Thomas
• Company: Miami Dade College, America
• Abstract:

  The self-positioning of nodes is the basis of wireless sensor network target location. The wireless sensor network node localization algorithm mainly has two types according to distance and non-distance. The positioning algorithm based on RSSI is widely used because of its simple implementation. In the traditional sensor node localization algorithm, the change of RSSI signal strength exhibits a large nonlinearity. After being converted into a distance feature, there is often a large deviation, resulting in inaccurate positioning. In order to solve this problem, a sensor node localization algorithm based on fuzzy RSSI distance is proposed. The algorithm collects the information of the node according to the RSSI ranging method, and fuzzifies the ranging information, solves the interference of environmental factors on the positioning, and enhances the accuracy of the node positioning. The simulation results show that the proposed algorithm can accurately locate the sensor nodes and has higher positioning accuracy. The positioning performance of the proposed algorithm is better than the traditional algorithm and has higher superiority.

• Keyword: fuzzy RSSI distance; sensor node; localization algorithm
• DOI: 10.12250/jpciams2018030116
• Citation form: Slivester Thomas.A Sensor Node Localization Algorithm Based on Fuzzy RSSI Distance[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 18-23.

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