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Geography-based protocols may suffer since the destination position changes continuously over time.
With GDflood, the transmitting node makes use only of its own position and the final destination position.
Son et al. [11] proposed two mobility prediction schemes; neighbor position prediction and destination position prediction, to overcome lost link and loop problems in position-based routing protocols.
The same approach is also used for nth degree-of-freedom manipulators where the end-effector reaches the destination position following a smooth short path avoiding the prohibited areas.
Given a source position (s) and destination position (d), the path planning problem is to estimate a feasible trajectory (T) with the lowest cost for vehicles to travel.
For the GDflood and NC-GDflood, we consider that each node must know its own position and the final destination position.
To reduce the energy consumption, we propose an enhancement of Dflood exploiting the location information of the node that is transmitting and the final destination position.
When a node cannot find a neighbor node closer to the destination position than itself, a recovery strategy based on planar graph traversal is applied.
All nodes move toward a new destination position in the region and stay there for a specified time called pause time and again proceed toward a new direction as previously described.
Tubes can be automatically transferred from a source plate (A) to a target plate (B) using two columns Excel file containing lists of tubes with source and destination positions.
Third, in GeoDTN+Nav, the packet only travels to the expected destination position inserted in the packet by the source, whereas, in DTFR, if the destination is not found when the packet reaches its expected position, replicas are employed to find it.
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