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ON EXPLOITING TRANSIENT SOCIAL CONTACT PATTERNS FOR DATA
FORWARDING IN DELAY-TOLERANT NETWORKS
ABSTRACT:
Unpredictable node mobility, low node density, and lack of global information make it
challenging to achieve effective data forwarding in Delay-Tolerant Networks (DTNs). Most of
the current data forwarding schemes choose the nodes with the best cumulative capability of
contacting others as relays to carry and forward data, but these nodes may not be the best relay
choices within a short time period due to the heterogeneity of transient node contact
characteristics.
In this paper, we propose a novel approach to improve the performance of data forwarding with a
short time constraint in DTNs by exploiting the transient social contact patterns. These patterns
represent the transient characteristics of contact distribution, network connectivity and social
community structure in DTNs, and we provide analytical formulations on these patterns based on
experimental studies of realistic DTN traces.
We propose appropriate forwarding metrics based on these patterns to improve the effectiveness
of data forwarding. When applied to various data forwarding strategies, our proposed forwarding
metrics achieve much better performance compared to existing schemes with similar forwarding
cost.