The reason for the increase of the delay is that by storing data into hubs, each copy of a message has to wait for a longer period of time to reach its destination, as this depends on the encounters between hubs and local nodes.
We find that PF has a higher message delivery delay (µ = 3.47, σ = 0.10) than LF (µ = 3.06, σ = 0.10).
As expected message delivery delay is higher when choosing the baseline EF (µ = 3.99, σ = 0.52), a two-way ANOVA shows significant differences in the overall rate of message delivery delay [F (2,891) = 0.00, p < 0.05].
The reason for the increase of the delay is that by storing data into hubs, each copy of a message has to wait for a longer period of time to reach its destination, as this depends on the encounters between hubs and local nodes. We find that PF has a higher message delivery delay (µ = 3.47, σ = 0.10) than LF (µ = 3.06, σ = 0.10). As expected message delivery delay is higher when choosing the baseline EF (µ = 3.99, σ = 0.52), a two-way ANOVA shows significant differences in the overall rate of message delivery delay [F (2,891) = 0.00, p < 0.05].
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