Generalizing UxV Network Control Optimization with Disruption Tolerant Networking

Abstract

Military and disaster relief operations increasingly rely on unmanned vehicles (UxVs). It is important to develop a network control system (NCS) that can continuously coordinate and optimize the movement of UxVs based on mission objectives. However, prior research on NCS aims to always maintain a connected network topology, which limits the utility of the resulting systems. In this paper, we present an approach to systematically increase the topology flexibility for an NCS by leveraging the well-studied concept of disruption-tolerant networking (DTN). We design a DTN-compatible communication utility model that, while allowing some nodes to temporarily disconnect from others, provides for a fine-grain specification of the minimum communication frequency and the maximum hops permitted for message delivery between each pair of nodes. As such, the model supports what-if analyses before a mission to determine the best communication parameters to use for a given set of UxVs. Furthermore, we incorporate our communication model into an existing NCS and evaluate its performance in a simulated scenario involving the use of five UxVs searching for an enemy ship. The results show that our model not only enables the NCS to find the enemy ship faster but also facilitates new capabilities, such as dividing the UxVs into multiple teams responsible for different search areas.