Storage Allocation Plan for Routing Nodes in Delay Tolerant Network

Received: 25 October 2018 Accepted: 7 January 2019 During data storage and forwarding, the storage resources in the delay tolerant network (DTN) are often allocated unfairly between the routing nodes. To improve the fairness and the routing performance in the DTN, this paper puts forward an optimal storage allocation plan for routing nodes based on the weighted max-min fairness. Unlike the existing storage allocation plan, which adopts the first-come, first-served mode, the weighted max-min fairness principle can allocate data transmission opportunities fairly to the data nodes, while giving more resources to key tasks and reducing service waiting time. The simulation experiment shows that the DTN routing algorithm after the optimization of storage resources achieved better transmission success rate and mean network delay than unoptimized routing algorithm.