Efficient Camera Clustering Method Based on Overlapping FoVs for WMSNs
Benrazek ALA-EDDİNE, Farou BRAHİM, Kurulay MUHAMMET
Journal Title:International Journal of Informatics and Applied Mathematics
The paper presents a new method of clustering cameras in a wireless multimedia sensor network based on overlapping camera fields of view. This method aims to group as many overlapping cameras as possible using the Bron-Kerbosch algorithm. The algorithm allows to find a maximum number of cliques, where they represent camera clusters with strongly overlapping fields of view. The main objective of this method is to form clusters of cameras that have a large overlap area between them in order to restrict the communication area only within the cluster. The method also avoids network congestion and reduce the redundancy of detected data to limit the rapid decrease in energy resulting from the acquisition, processing and transmission of redundant multimedia data. The simulation results show that the proposed method is more effective in extending network lifetime and reducing overhead costs.