Exploiting Multi View Video for Maximizing Lifetime of Wireless Video Sensor Networks

Wireless Sensor Networks have attained extensive interest since the last few decades. Especially Wireless Multimedia sensor networks are being used in surveillances, health, traffic monitoring and entertainment where these sensors are deployed at different views for capturing the finer details of a given region. With their extensive use and benefits, they have many issues such as battery life, storage capacity, and bandwidth consumption. The aim of the research paper is to study the existing spatial correlation models in multi view videos and propose an approach which reduces battery consumption by minimizing the compression time of video frames based on the specific correlation model. This paper discusses the novel OPI model that is designed on the basis of correlation between sensor nodes. Experimental results have been derived using OPI model and the results depict that by using this approach, compression time of processed video frames is reduced as compared to the compression time of originally frames.