Compressive feedback for Video Stream Quality Index Based Selection of Collaboration node in WMSN

In the field of collection, communication and analysis of the information in the wireless sensor networks, the accuracy of the information can be improved, and the node power consumption can be reduced by using cooperative communication techniques. The selection of cooperative partners is an important issue worthy of study. consider making use of the information feedback technology into wireless multimedia sensor networks (WMSN), to feed the Video Stream Quality Index (VSQI) back to sink node through the control channel from geographically distributed sensor nodes for supporting on the selection of collaboration node. In this paper, according to human visual characteristics, a video streaming quality estimation method is proposed, and signal VSQI is designed on the basis of that. Moreover, Compressed Sensing (CS) theory is applied to VSQI compression feedback in the experiment because of the large quantity of feedback information. The random measurement matrix associated with VSQI signal, and reconstruction guidelines is tested in the simulation experiment. The simulation results demonstrate that CS based Compressive feedback method can reduce the processing complexity of sensing node side and enhance the degree of compression, and provide the theoretical support for selection the collaboration node.