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Nodes movements play a significant role in disseminating messages in thesparse mobile ad-hoc network. In the network scenarios, where traditionalend-to-end paths do not exist, mobility creates opportunities for nodes toconnect and communicate when they are encountered. A series of encounteringopportunities spread a message among many nodes and eventually deliver to thedestination. Further improvements to the performance of message delivery cancome from exploiting temporal mobility properties. It is modeled as timevarying graph, where, moving nodes are considered as vertices and contactopportunity to other nodes as an edge. The paper discusses aboutcharacterization and design of the temporal algorithm. Then, evaluatingtemporal distance, diameter and centrality of real and synthetic mobility datasets.

Characterizing and Evaluation :Temporal properties of real and synthetic datasets for DTN