Abstract (EN):
Wireless visual sensor networks provide valuable informa-tion for many monitoring and control applications. Some-times, a set of targets need to be monitored by deployed visual sensors. For those networks, however, some active vi-sual sources may fail, potentially degrading the application monitoring quality when targets become uncovered. More-over, some applications may need different perspectives of the same target. As visual sensors will be used to moni-tor a set of targets, a high level of monitoring redundancy may be required and an effective way to achieve it is as-suring that targets are being concurrently viewed by more than one visual sensor. We propose a centralized greedy algorithm to enhance redundancy in wireless visual sensor networks when visual sensors with adjustable orientations are deployed. Additionally, as some targets may be more critical for the application, we propose a priority-based con-figuration of the sensors' poses in order to find an optimized configuration for the visual sensors.
Language:
English
Type (Professor's evaluation):
Scientific