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RAMP System for Proactive Pipeline Monitoring

Jong-Hoon Kim‡, Gokarna Sharma‡, Noureddine Boudriga§, and S. Sitharama Iyengar‡ ‡Computer Science Dept., Louisiana State University, USA, Email: jkim24@lsu.edu, {gokarna, iyengar}@csc.lsu.edu §CN & S Research Lab, University of Carthage, Tunisia, Email: nab@supcom.rnu.tn


Abstract—In this poster, we demonstrate a novel cost effective, scalable, and customizable RFID-based autonomous pipeline monitoringsystem,calledRAMPsystem,whichcombinessensing technologies with robot agent based technologies for efficiently inspecting health related events and RFID technologies for the storage of event related information and location support. RAMP system integrates a new concept of Multiple-channeled Redundant Array of Independent RFID Tags (called McRAIT) to increase the capacity of RFIDs needed to store information, to authorize higher communication bandwidth, to provide efficient localization of events, and to improve the fault tolerance. Further, we present some simulation experiments and prototypes to demonstrate the feasibility and scalability of RAMP system.