Paper Title
A Non-Heuristic Approach For Minimizing The Number Of Cameras Actuated In Wireless Multimedia Sensor Networks

In current scenario, Wireless Multimedia Sensor Networks have gained much popularity in many spheres of life. Both scalar sensors and camera sensors are present in case of Wireless Multimedia Sensor Networks. Camera sensors have two basic parameters. They are depth of field and field of view. Depth of field is the distance at which a camera can capture accurate image of an object. Field of view is the angle at which a camera can capture accurate image of an object. When any kind of event takes place in a monitored region, it is initially detected by scalar sensors. Then the scalars inform their respective camera(s) regarding the occurrence of event. However, the problem is that when event occurs, sensing of event takes place in the exact event region and also up to some extent outside the event region. Due to this, the cameras present at the region outside the event boundary are activated unnecessarily, since their depths of fields do not cover the exact event region. In our paper, we have used a non-heuristic approach for minimizing the number of cameras activated in such a way that no event information is missed and unnecessary camera activation is minimized. Hence the cameras those were activated unnecessarily due to sensing of event, being present outside the event region, are kept in turned off condition. In the current work, we have considered several values of thresholds, varied them individually and observed their effect on number of cameras activated.