Collaborative multi-sensor image transmission and data fusion in mobile visual sensor networks equipped with RGB-D cameras

Abstract

We present a scheme for multi-sensor data fusion applications, called Relative Pose based Redundancy Removal (RPRR), that efficiently enhances the wireless channel utilization in bandwidth-constrained operational scenarios for RGB-D camera equipped visual sensor networks. Pairs of nodes cooperatively determine their own relative pose, and by using this knowledge they identify the correlated data related to the common regions of the captured color and depth images. Then, they only transmit the non-redundant information present in these images. As an additional benefit, the scheme also extends the battery life through reduced number of packet transmissions. Experimental results confirm that significant gains in terms of wireless channel utilization and energy consumption would be achieved when the RPRR scheme is used in visual sensor network operations.

A WSN Clustering Multi-Hop Routing Protocol Using Cellular Virtual Grid in IoT Environment

“…Establish a reverse routing gradient to the sink node. When choosing the next hop cluster head node, the cost function is calculated by formula (8). When choosing the next hop value cluster head node, the cost function is the smallest, such as formula (8):…”

“…Based on the simulation platform of MATLAB, this paper simulates the proposed routing algorithm with literature [6] algorithm, literature [7] algorithm, and literature [8] algorithm and compares their performance. e total energy consumption of the network and the total number of remaining nodes of the network are analyzed and compared, respectively.…”

“…When literature [6] algorithm runs to about 1000 s, the total energy of the network is exhausted. Currently, the residual energy of literature [7] algorithm accounts for 27%, literature [8] algorithm for 36%, and the proposed method for 43%. It shows that the proposed algorithm can reduce network energy consumption compared with the first three algorithms.…”

“…Literature [7] proposes a multi-hop clustering routing algorithm based on region partitioning, which divides the monitoring area into equal-spacing circles and then equal-angle quadratic partitioning areas. In view of the problem that the batteries to be replaced are stored on the battery rack in the power exchange service and cannot be used for information transmission through the vehicle area IoT, the intelligent battery rack equipped with sensing devices is proposed in literature [8], which intelligently perceives the battery status and communicates with the operation support system and the gateway of the station area IoT. However, this kind of application limits the spatial range of data transmission and increases the data transmission interface between battery pack and battery rack, which also increases the investment and operation difficulty of rechargeable power station.…”

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

“…Early results of this work were presented in [ 23 ], and in this paper we Add detailed theoretical refinements, practical implementation and experimental performance evaluation of the cooperative relative pose estimation algorithm [ 24 ] ( Section 3.2 ), Extend the theoretical development and practical implementation of the RPRR scheme for minimizing the transmission of redundant RGB-D data collected over multiple sensors with large pose differences ( Section 3.3 ), Describe the lightweight crack and ghost artifacts removal algorithms as a solution to the undersampling problem ( Section 3.5 ), and Include detailed experimental evaluation of wireless channel capacity utilization and energy consumption ( Section 4.2 ). …”