Integrated Framework for Controlled Mobility in Ad-hoc Network.

摘要

The overall goal of the research proposed here is to develop a framework for controlled mobility in ad-hoc networks that integrates data ferrying in sparse or delay tolerant networks with local decentralized control for improved real-time network flow. Ferrying route design using reinforcement learning has been developed and demonstrated in simulation. It has been shown to exceed the performance of competing methods.