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In [19], the authors applied multiple data mules (i.e. ME) with load balancing among sensors.
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Shah et al. presented a data mules, which can complete the data transmission by mules mobility [26].
In this case, the data mule approach is inverted since remote disconnected nodes are mobile while kiosks, that is, data mules, are static.
Figure 1 Opportunistic networking scenario with static Infostations and data mules.
How to hide the data will be the great challenge for these "data mules".
Additionally, we design a new protocol called Mule-Saving-Source (MSS) that preserves α-angle anonymity by adapting the conventional function of data mules.
Finally, in [15], opportunistic data delivery is studied when both traditional routing and data mules techniques are jointly used.
We theoretically analyze the delay incurred by using data mules in MSS, and we examine via extensive simulations the trade-off between the delay and privacy preservation under different data mule mobility patterns.
Furthermore, to study the impact of the mobility model of the data mules on the MSS protocol, we compare the performance of the MSS protocol by changing the mobility model of data mules to a Random Waypoint based model.
In [14], cars act as data mules and employ a carry-and-forward paradigm to transfer data packets to a portal.
In uncontrolled mobility, data MULEs (Mobile Ubiquitous Lan Extensions) move randomly in the area without considering any network parameter (such as nodes' remaining energy).
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