Coverage Aware Dynamic Scheduling Strategies for Wireless Video Sensor Nodes to Reduce Energy Consumption

Abstract

In the disaster hit area random deployment of wireless video sensor nodes (VSNs) (having limited battery power) consumes a lot of energy for capturing visual data, local processing and transmission of data. Random deployment of those VSNs causes to overlap their sensing ranges which can be utilized to cover the sensing region of several VSNs and to shut them off. It helps increase their lifetime due to reduced energy consumption while maintaining almost the same area coverage for network connectivity. Loss of messages due to collision in duty cycling phase keeps more VSNs to remain awake than it is expected. Two advanced approaches APP_1 and APP_2 (using a combination of static all time active VSN (ATVSN) and static active/inactive VSN (AIVSN)) are proposed here to decrease number of active VSNs in the target area and to reduce energy consumption without losing much area coverage. These two approaches are compared with an existing approach, showing their superiority in terms of energy consumption. APP_1 performs much better than the existing approach in terms of energy consumption whereas APP_2 is more efficient than APP_1 and the existing approach in terms of energy consumption, run time complexity, storage overhead and communication overhead.