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This is the classical hop distance metric.
When a vertex is reached, its hop distance is compared to the reached hop distance.
Hop distance to the destination (H) <1 octet>.
Otherwise, DSDV resorts to its default hop distance metric.
The performance metric considered here is the average weighted hop distance.
This eventually translates to minimizing the average inter-node hop distance within the ISS.
A network with a low average hop distance implies small latency for object lookup.
Similar(4)
An analytical clustering model with one-hop distance and clustering angle is given.
Each device maintains entries only for those neighbors within the k-hop distance (i.e., interference range).
This approach can make one-hop distance longer and reduce delay.
Note that l2 and l3 are also within two-hop distance of l1.
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