摘要
当随机事件服从任意概率分布时,如何调度可充电传感器以使得事件捕获的总体监控质量(Qo M)最大化.首先验证了这一问题是NP完全问题,其次证明了优化问题的目标函数是单调子模.通过将这个问题表述为求解一个拟阵约束下子模函数最大值的问题,设计了一种近似算法,得到了系数为1/2的近似解,并通过了仿真验证.
This paper considers how to schedule rechargeable sensors to maximize the overall quality of monitoring (QoM) for event capture when stochastic events follow arbitrary probabilistic distribution. The problem is first formulated as an NP-complete problem, and then we prove that the objective function of the optimization prob- lem is monotone sub modular. Next, an approximation algorithm is designed by expressing the problem as a maximization of a sub-modular function subject to a matroid constraint, which provably achieves a factor of 1/'2 of the optimum. Extensive simulation is conducted to verify our theoretical findings.
出处
《信息与控制》
CSCD
北大核心
2014年第6期675-680,696,共7页
Information and Control
基金
湖南省教育厅资助科研课题(13C659
12C1175)