FIRST: Fuzzy based intelligent relay selection and transition technique for delay tolerant networks

Delay tolerant network (DTN) has attracted significant attention of the researchers due to its capability of delivering the message even in the situation where network connectivity is irregular. Irregular networks result in non-delivery of data to user at right time, and the same is not possible with traditional algorithms due to requirement of end-to-end connectivity between nodes. DTN uses story-carry-forward technique to deliver a message in the environment of disconnection. Hence, for message transmission from source node to destination node, a relay node or forwarder node is required. The efficiency of the network is mainly dependent on the selection of forwarder node. Hence, forwarder node selection is very crucial in DTNs. The objective of this paper is to propose an efficient relay node selection technique integrated with fuzzy logic, based on four properties of node, namely, number of encounters, residual energy, buffer capacity, and speed so that performance metrics of the network can be improve. Proposed method uses fuzzy logic to decide which node should be selected as relay node in multi hop strategy. The study of simulation results indicate that proposed algorithm improves performance of the network with regards to delivery ratio, delay, hop count, and throughput.

Automated summary

Delay tolerant network (DTN) has attracted researchers' attention for its ability to deliver messages in unstable network conditions. This paper proposes an efficient relay node selection technique using fuzzy logic based on node properties, and simulation results confirm its effectiveness.