Title: Energy-aware rate adaptation for computational RFID

Authors: Ruiqin Bai; Jumin Zhao; Dengao Li; Xiaoyu Lv; Qiang Wang

Addresses: College of Information and Computer, Taiyuan University of Technology, Jinzhong, 030600, China ' College of Information and Computer, Taiyuan University of Technology, Jinzhong, 030600, China ' College of Data Science, Taiyuan University of Technology, Jinzhong, 030600, China ' College of Information and Computer, Taiyuan University of Technology, Jinzhong, 030600, China ' College of Information and Computer, Taiyuan University of Technology, Jinzhong, 030600, China

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.

Keywords: rate adaptation; computational RFID; adaptive time window algorithm; energy efficient.

DOI: 10.1504/IJSNET.2021.115439

International Journal of Sensor Networks, 2021 Vol.36 No.1, pp.1 - 10

Received: 14 Sep 2020
Accepted: 12 Dec 2020
Published online: 02 Jun 2021 *

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