Finite-time dynamic coverage for mobile sensor networks in unknown environments using neural networks |
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| Authors: | Yi Qu Shengyuan Xu Cheng Song Qian Ma Yuming Chu Yun Zou |
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| Institution: | 1. The School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China;2. The School of Science, Huzhou Teachers College, Huzhou 313000, Zhejiang, PR China |
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| Abstract: | This paper addresses the finite-time dynamic coverage problem for mobile sensor networks in unknown environments. By introducing a condition where dynamic coverage of all points within the sensing range of each sensor exceeds the desired coverage level by a positive constant, a switching control strategy is developed to guarantee the achievement of desired coverage of the whole mission domain in finite time. The environment is modeled by a density function and neural networks are introduced to learn the function. Due to the approximation capability of neural networks, the proposed control scheme can learn the environment without a priori knowledge on the structure of the density function. |
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