We use a constrained optimization framework to derive fundamental scaling laws for both unstructured sensor networks (which use blind sequential search for querying) and structure...
— We consider the design of optimal strategies for joint power adaptation, rate adaptation and scheduling in a multi-hop wireless network. Most existing strategies control either...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Multilayer MINs have emerged mainly due to the increased need for routing capacity in the presence of multicast and broadcast traffic, their performance prediction and evaluation ...
D. C. Vasiliadis, G. E. Rizos, C. Vassilakis, E. G...
—This paper presents ceiling light landmarks based localization and motion control for a mobile robot. The novel mechanism design for the mobile robot is introduced, and the meth...