Predictable Mobile Routing For Spacecraft Network

Abstract

In predictable mobile networks, network nodes move in a predictable way and therefore have dynamically changing but predictable connectivity. We have developed a model that formalizes predictable dynamic topologies as sequences of static snapshots. We use this model to design and evaluate a predictable mobile-routing protocol based on link-state routing, whose performance is superior to its static and ad hoc counterparts. Our routing protocol accounts for occurrences of additional, unpredictable changes, as well as their interaction with predictable changes. We evaluate our protocol using simulations based on randomly generated topologies and spacecraft-network scenarios. In both cases, we show that our protocol outperforms traditional routing protocols and is well suited for routing in next-generation space networks.

Existing System

Spacecraft networks are a topic of growing importance within space agencies and Industry Existing and emerging applications call for efficient routing within an interconnected space environment. In existing system, we use the snapshot approach; other approaches exist to model dynamically changing topologies. The routing path between two nodes does not always exist and packets must then wait at intermediate nodes for links to become available. In deep-space communication, long propagation delays and intermittent connectivity links may be present in the network. The DTN approach addresses this problem by introducing an overlay layer.

Proposed System

In our proposed system, we present a formal topology model for predictable mobile networks that describes the topology evolution by a sequence of static network-topology snapshots. We use this model to design and evaluate a predictable mobile-routing protocol based on link state routing, whose performance is superior to its static and ad hoc counterparts. We use this model to develop a general purpose Predictable Link-State Routing (PLSR) protocol that accounts for both predictable and unpredictable changes and their interaction. Our results provide strong evidence of PLSR is well suited for near-term and next generation spacecraft networks.

Architecture