Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks
This addresses bandwidth and power efficiency for mobile visual sensor networks, but appears incremental as it builds on redundancy removal techniques.
The paper tackles the problem of bandwidth and power constraints in mobile RGB-D sensor networks by proposing the Relative Pose based Redundancy Removal (RPRR) scheme to detect and avoid transmitting redundant visual and depth information, resulting in a 250% improvement in wireless channel utilization and halving battery consumption.
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.