Cluster Based Coverage Enhancement for directional sensor networks

Directional Sensor Network (DSNs) being a subdivision of WSN has attracted researchers a lot due to its wide deployment in visual monitoring applications as the continuous technical advancements have enabled us making use of low-cost camera sensors. But because of the inherent random deployment of these camera sensors, the effective area coverage is reduced. Therefore, the effective area coverage of the network must be enhanced; which can be achieved either by enabling mobility among the nodes or by exploiting motility of the nodes. In this work, a clustering-based scheme has been proposed which re-orient the Field-of-View (FoV) of the nodes to adjust them accordingly with an objective of improving the total area coverage. The performance of the proposed scheme is evaluated against a renowned scheme Face-Away using two metrics viz. Object-Detection Capability and Effective Coverage Area; and, the results have proved the supremacy of proposed scheme over the Face Away.