Finite-time dynamic coverage for mobile sensor networks in unknown environments using neural networks
Finite-time dynamic coverage for mobile sensor networks in unknown environments using neural networks
复制标题
使用神经网络在未知环境中移动传感器网络的有限时间动态覆盖
DOI：
10.1016/j.jfranklin.2014.05.011
复制
发表时间：
2014
影响因子：
4.1
通讯作者：
Zou Yun
中科院分区：
文献类型：
--
作者：
Qu Yi;Xu Shengyuan;Song Cheng;Ma Qian;Chu Yuming;Zou Yun
研究了未知环境下移动的传感器网络的有限时间动态覆盖问题。通过引入每个传感器感知范围内所有点的动态覆盖超过期望覆盖水平一个正常数的条件，提出了一种切换控制策略，以保证在有限时间内实现整个使命域的期望覆盖。环境是由密度函数和神经网络来学习函数建模。由于神经网络的逼近能力，所提出的控制方案可以学习环境，而无需对密度函数的结构进行先验知识。
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 withouta prioriknowledge on the structure of the density function.