A Radio Frequency Sensor System for Prognostics and Health Management

Author(s):  
Shunfeng Cheng ◽  
Larry Thomas ◽  
Jason L. Cook ◽  
Michael Pecht

This paper introduces a radio frequency identification sensor system and its application for prognostics and health management. In prognostics and health management applications, the radio frequency identification sensor system collects data and transfers the data wirelessly into computers. The data then is analyzed by failure detection and prediction algorithms. The performance of the sensor system for prognostics and health management is demonstrated by a field application.

A remote sensor system comprises of huge no of sensor hubs which can be utilized as a significant instrument for gathering information in various circumstances. The serious issue in the WSN is the vitality utilization of the system. In this paper we represent the RFID [Radio Frequency Identification works only in modes that is sleep, active, ready for packet collision]. In RFID protocol there are three types of nodes that is sleep, active, ready. As energy consumption is less in LeachRFID because some hubs are in sleeping mode and rest of them are in active and ready modes. The packet loss is more in LeachRFID protocol due to non synchronization of the nodes. The simulation results shows between leach and Leach-RFID


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