Energy-aware rate adaptation for computational RFID

Abstract

Rate adaptation is an effective method to maximise the transmission goodput, especially for the passive sensing systems with a more variable channel environment and unstable energy states. Most existing approaches share three common drawbacks: excessive energy consumption, not in real-time, and not taking into account the energy of computational radio frequency identification (CRFID). We propose an energy-aware rate adaptation algorithm for CRFID, which use new channel detection methods, and design an adaptive time window algorithm, also, we establish a model of data rate and required energy, considered the impact of different data rates on energy consumption, and design a new CRFID runtime mechanism. We implement an algorithm on the wireless identification sensing platform (WISP) CRFIDs and commercial RFID reader, compared to the state-of-the-art scheme, the goodput gain and energy efficiency of our design are much improved.