Compression of Video Tracking and Bandwidth Balancing Routing in Wireless Multimedia Sensor Networks

Abstract

There has been a tremendous growth in multimedia applications over wireless networks. Wireless Multimedia Sensor Networks(WMSNs) have become the premier choice in many research communities and industry. Many state-of-art applications, such as surveillance, traffic monitoring, and remote heath care are essentially video tracking and transmission in WMSNs. The transmission speed is constrained by big size of video data and fixed bandwidth allocation in constant routing path. In this paper, we present a CamShift based algorithm to compress the tracking of videos. Then we propose a bandwidth balancing strategy in which each sensor node is able to dynamically select the node for next hop with the highest potential bandwidth capacity to resume communication. Key to the strategy is that each node merely maintains two parameters that contains its historical bandwidth varying trend and then predicts its near future bandwidth capacity. Then forwarding node selects the next hop with the highest potential bandwidth capacity. Simulations demonstrate that our approach significantly increases the data received by sink node and decreases the delay on video transmission in Wireless Multimedia Sensor Network environment. ABSTRACTThere has been a tremendous growth in multimedia applications over wireless networks. Wireless Multimedia Sensor Networks(WMSN) have become the premier choice in many research communities and industry. Many state-to-art applications, such as surveillance, traffic monitoring, and remote heath care are essentially video tracking and transmission in WMSN. The transmission speed is constrained by big size of video data and fixed bandwidth allocation in fixed routing path. In this paper, we present a CamShift algorithm to compress the tracking of videos. Then we propose a bandwidth balancing strategy in which the sensor nodes are able to dynamically select the node for next hop with the highest potential bandwidth capacity to resume communication. Key to the strategy is that each node merely maintains two parameters that contains the historical network traffic and then calculates its bandwidth capacity. Then each node selects the next hop with the highest potential bandwidth capacity. Simulations demonstrate that our approach significantly increase the aggregate throughput and decrease the latency on video transmission in Wireless Multimedia Sensor Network environment. ABSTRACTThere has been a tremendous growth in multimedia applications over wireless networks. Wireless Multimedia Sensor Networks(WMSN) have become the premier choice in many research communities and industry. Many state-to-art applications, such as surveillance, traffic monitoring, and remote heath care are essentially video tracking and transmission in WMSN. The transmission speed is constrained by big size of video data and fixed bandwidth allocation in fixed routing path. In this paper, we present a CamShift algorithm to compress the tracking of videos. Then we propose a bandwidth balancing strategy in which the sensor nodes are able to dynam...

An Immersive Telepresence System Using RGB-D Sensors and Head Mounted Display

“…The server then combines all the received images, refines the estimations, and distributes the data back to the clients. As most of the heavy transmission load concentrates on the RGB-D image pairs, we applied our proposed CamShiftbased algorithm to transmit a compressed version of images on the network [10].…”