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Sensor nodes should avoid a path including the most overloaded sensor node.
Therefore, the routing protocol should be able to prevent sensor nodes from using a path including the most overloaded sensor node.
However, assuming that network lifetime is the time elapsed from the deployment to the instant when one of sensor nodes becomes dead, it is essential to extend the lifetime of the most overloaded sensor node in the network, because the network lifetime is limited by the most overloaded sensor node.
In GLOBAL, in order to allow a sensor node to use the least-loaded path which also avoids the most overloaded sensor node, each sensor node calculates its gradient using the weighted average (WA) of the cumulative path load and traffic load of the most overloaded node over the path.
The REDR of the most overloaded sensor node is weighted differently from the REDRs of the other sensor nodes over the path, according to Equation 6. G i = β ∑ j = 1 n RED R j + ( 1 - β ) * max 1 ≤ j ≤ n RED R j (5) G i = β ∑ j = 1 n - 1 RED R j + RED R n (6).
Similar(55)
Whenever the most overloaded node becomes dead, one of sensor nodes which are still staying alive becomes the most overloaded node newly.
In GLOBAL, in order to enable sensor nodes to avoid paths including the most overloaded node, the gradient field is constructed by weighting the cumulative path load as well as the traffic load of the most overloaded node.
Since the GLOBAL's gradient model reflects the traffic load of the most overloaded node which can be changed over time, GLOBAL efficiently allows sensor nodes to avoid the path including the most overloaded node even after some sensor nodes die.
If G i is calculated by Equation 4, sensor nodes can avoid the path including the most overloaded node.
Through the proposed heuristic method, each sensor node is enabled to more favor paths excluding the most overloaded node as its shortest hop distance to a sink decreases.
However, they have a critical drawback that a sensor node cannot efficiently avoid using the path with the most overloaded node.
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