Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks

TL;DR

This paper introduces RPRR, a scheme for mobile RGB-D sensor networks that reduces data redundancy, significantly improving wireless channel efficiency and saving power by detecting and eliminating redundant visual and depth information.

Contribution

The paper proposes a novel Relative Pose based Redundancy Removal scheme tailored for mobile RGB-D sensor networks, enhancing data transmission efficiency under bandwidth constraints.

Findings

Wireless channel utilization improved by 250%

Battery consumption halved

Effective redundancy detection in RGB-D data

Abstract

The Relative Pose based Redundancy Removal(RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational scenarios. Participating sensor nodes detect the redundant visual and depth information to prevent their transmission leading to a significant improvement in wireless channel usage efficiency and power savings. Experimental results show that wireless channel utilization is improved by 250% and battery consumption is halved when the RPRR scheme is used instead of sending the sensor images independently.