Video Coverage Model For Multimedia Sensor Networks

Abstract

The coverage problem in directional or omni direction coverage can be increase day by day. Due to high number of Video sensor can also increased. Research in directional video sensor can also increased. Video sensors increases the clarity of capture and reduces false alarm rate. Continuous capture and transmission of video streams can be highly energy consuming task given the resource constrained nature of WSN nodes. Also transmission of video stream demands high bandwidth. In applications like border patrolling, in event of intrusion, the system should report the event. High deployment density of nodes results in larger overlap across the area covered by various nodes. Transmission of video streams by all video sensors detecting the intrusion can result in redundant streams, thus increasing energy consumption. Also video sensors need not be at their best in capturing the phenomenon. Their capture quality can be a function of their backup their nodes. Given the directional coverage of video sensor nodes, it becomes a challenging task to identify the set of backup nodes covering the same area. In this report i investigate existing techniques for backup set computation and suggest a dynamic sized backup set computation method which is efficient and computes minimum sized backup set with maximum percentage of overlapping coverage.