Title

On Max-Min Complete Targets Sampling in Backscatter-Aided RF Powered IoT Networks

Publication Name

IEEE Communications Letters

Abstract

This paper considers a Radio Frequency (RF) powered Internet of Things (IoT) network that exploits ambient backscatter communications to maximize the minimum number of samples of targets. We propose a Maximum Backscatter Opportunity Search (MBOS) heuristic algorithm to construct set covers to ensure complete targets coverage. Our results demonstrate that the performance of MBOS is within 91% of the optimal number of samples and it is 25% higher as compared to not using backscattering.

Open Access Status

This publication is not available as open access

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Link to publisher version (DOI)

http://dx.doi.org/10.1109/LCOMM.2021.3110771