A false deletion data tracking method based on Fisher information distance in wireless sensor networks. (28th April 2022)

• Record Type: Journal Article
• Authors: Jing, Wei; Wang, Peng; Zhang, Ningchao
• Is Part Of: International journal of sensor networks. Volume 38:Number 4(2022)
• Page Start: 282
• Page End: 292
• Publication Date: 2022-04-28
• Subjects: Fisher information distance -- wireless sensors -- deleted data by mistakes -- data tracking; Sensor networks -- Periodicals; 681.2
• Languages: English
• ISSNs: 1748-1279

Abstract

To solve the shortcomings of traditional data tracking methods, such as low tracking efficiency, high error rates, high consumption, and so on, we propose a method based on Fisher information distance to track the deleted data in wireless sensor networks. The proposed method adopts a multilateral measurement technology to measure the geometric data and mutual position information among wireless sensors. It also adopts a Kalman filter to reduce noise interference during data processing. It selects the most suitable and pre-selected member component tracking cluster to realise data tracking of wireless sensor networks based on Fisher information distance. Experimental results show that the proposed method has high accuracy, noise elimination ability, and network energy consumption saving capability.