A Reliable and Efficient Encounter-Based Routing Framework for Delay/Disruption Tolerant Networks


This paper addresses delay/disruption tolerant networking routing beneath a highly dynamic state of affairs, envisioned for communication in vehicular sensor networks (VSNs) stricken by intermittent association. Here, we target the planning of a high-level routing framework, rather than the dedicated encounter prediction. Based on an analyzed utility metric to predict nodal encounter, our proposed routing framework considers the following 3 cases. 1st, messages are efficiently replicated to a better qualified candidate node, based mostly on the analyzed utility metric connected to destination. Second, messages are conditionally replicated if the node with a higher utility metric has not been met. Third, messages are probabilistically replicated if the knowledge in relation to destination is unavailable in the worst case. With this framework in mind, we propose two routing schemes covering two major technique branches in literature, particularly: 1) encounter-based mostly replication routing and a couple of) encounter-based spraying routing. Results under the state of affairs applicable to VSNs show that, additionally to achieving high delivery ratio for reliability, our schemes are more economical in terms of a lower overhead ratio. Our core investigation indicates that aside from what information to use for encounter prediction, the way to deliver messages primarily based on the given utility metric is additionally necessary.

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