Nodes placement for optimizing coverage of visual sensor networks

Abstract

Visual sensor networks have become a research focus with its expanding application domains. How to achieve optimal coverage to improve visual network's capability of obtaining regional information is a critical issue. As a visual sensor has a bounded field of view, a random deployment of network sensors can hardly solve this issue. This paper proposes a bounded observation field sensing model based on the sensing feature of visual sensor. According to this model, a sensor placement method is devised by means of multi-agent genetic algorithm (MAGA). The positions and poses of sensors which can enhance the coverage can be effectively worked out by this placement algorithm, thus the visual network's capability of obtaining regional information can be improved. Experiment results show that the algorithm proposed is effective in both 2D and 3D scenes. © 2009 Springer-Verlag Berlin Heidelberg.