Compression of Video Tracking and Bandwidth Balancing Routing in Wireless Multimedia Sensor Networks
Document Type
Conference Paper
Publication Date
5-2015
Publication Source
8th International Conference on Mobile Multimedia Communications
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 the big file size of video data and fixed bandwidth allocation in constant routing paths. 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 the next hop with the highest potential bandwidth capacity to resume communication. Key to this strategy is that each node merely maintains two parameters that contain its historical bandwidth varying trend and then predict its near future bandwidth capacity. Then, the forwarding node selects the next hop with the highest potential bandwidth capacity. Simulations demonstrate that our approach significantly increases the data received by the sink node and decreases the delay on video transmission in Wireless Multimedia Sensor Network environments.
Inclusive pages
60-65
ISBN/ISSN
9781631900662
Document Version
Published Version
Copyright
Copyright © 2015, Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publisher
Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Place of Publication
Chengdu, China
Peer Reviewed
yes
eCommons Citation
Wang, Yin; Yang, Jianjun; Shen, Ju; Payne, Bryson; Guo, Juan; and Hua, Kun, "Compression of Video Tracking and Bandwidth Balancing Routing in Wireless Multimedia Sensor Networks" (2015). Computer Science Faculty Publications. 57.
https://ecommons.udayton.edu/cps_fac_pub/57
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons, Information Security Commons, Numerical Analysis and Scientific Computing Commons, OS and Networks Commons, Other Computer Sciences Commons, Programming Languages and Compilers Commons, Software Engineering Commons, Systems Architecture Commons, Theory and Algorithms Commons
Comments
This version is provided for download with the permission of the publisher. The paper was published in the proceedings of Mobimedia 2015.
Permission documentation is on file.