Energy efficiency analysis of Compressed Sensing Video Streaming for Wireless Multimedia Sensors
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 8
Abstract
Multimedia Wireless Sensor Network (MWSN) [3] provides a low-cost and flexible solution for distributed video surveillance based on low-power autonomous camera sensor nodes. The profile of these MWSN-based distributed systems is substantially different from those in other domains of WSNs: in addition to requirements for increased robustness and fault tolerance, each node is expected to perform a substantial amount of computation such that related to image processing, filtering, actuation, diagnostic, logging, communication, etc. In practice, the computational load on each node (in terms of amount of processing time needed by the application tasks) may become relevant. In addition, such applications exhibit real-time constraints: late sensor messages may not be considered acceptable. The aim of this project is to maximize the video quality in wireless multimedia sensor networks. There is a problem of encoding rate, compression rate and channel encoding rate in compressed sensing based on video transmission over wireless sensor networks. It leads to encoder complexity and recovery errors. To overcome the problems we propose the rate controller which is designed for predicting the rate of compressed sensed video and adjust the sampling rate of compressed videos. And also detect and correct the recovery error when transmitting the video in wireless multimedia sensor networks. Comparative analysis shows that when rate controller based MWSN systems have higher energy efficiency along with improved video quality. The system performance is also evaluated for various routing protocols by evaluating PSNR, which is a measure of the received video quality.
Authors and Affiliations
Reshmi H, Neethu Kuriyakose, Parameshachari B D, H S DivakaraMurthy, Arun Jose
Keywords
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