In a general case of
sensor networks where power is paramount, a cost function that selects the
nodes with the highest power would be selected. Every cost function should
be sure to select a node whose residual corresponds to a forward traversal of
the trajectory. Although the proposed mechanisms are very interesting, the
computation complexity of the method can be improved.
4 TE-Routing
Taking advantage of the preliminary ideas proposed in [16] as base for our work
and extending it, we proposed Tra?±c Engineering Routing (TE-Routing or
TER). As mentioned in [16], the trajectory should be designed by a trajectory
mapping service to guarantee that all of the aspects of the landscape are
considered. To optimize the usefulness of this algorithm, we propose that the
trajectory be defined by an expert using a computer aided design (CAD)
tool. Note that all the expert is required to do is to enter/click a few points
which will be used to define the curve that the routing mechanism will try
to follow. For instance, suppose that sensor nodes are spread on a large field
collecting data, and enemy camps are part of the field. For security reasons,
the engineers might decide that the tra?±c should be routed away from these
regions, and therefore, the expert would click on the map and enter points that
the routing mechanism must follow, avoiding the unwanted region. Figure 2
illustrates our example. Note also that the expert does not need to know the
position of the nodes in the field.
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