The Critical Transmitting Range for Connectivity in Sparse Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Wireless multimedia sensor networks: A survey
IEEE Wireless Communications
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
A multiagent genetic algorithm for global numerical optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Vision sensor planning for 3-D model acquisition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
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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.