Quality of Information Maximization in Two-Hop Wireless Networks
An information collection problem in a wireless network with random events is considered. Wireless nodes report on each event using one of multiple reporting formats. Each format has a different quality and uses a different number of bits. Delivering all data in the highest quality format can overload system resources. The goal is to make intelligent format selection and routing decisions to maximize time-averaged information quality subject to network stability. Lyapunov optimization theory can be used to solve such a problem by repeatedly minimizing the linear terms of a quadratic drift-plus-penalty expression. To reduce delays, a novel extension of this technique that preserves the quadratic nature of the drift minimization while maintaining a separable decision structure is proposed.