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To the best of our knowledge, localized schemes do not protect the integrity of the critical parts of the certificate chain messages by having each node signing them, thus they are prone to DoS attack scenarios.
Ingelrest and Simplot-Ryl proposed a localized broadcast incremental power protocol [20] where this overhead is limited by having each node applying the BIP algorithm in its k-hop neighbourhood, for moderate values of k (for example, k = 2).
The normalized mean distance, pnorm, of a node to its d stable neighbors can be found by having each node calculate the mean position, μ p, and the standard deviation, σ p, of its all d stable neighbors, thus, the pnorm is calculated by: p norm = n i pos - μ p σ p (4).
CBCT (fault-tolerant cone-based topology control) is a distributed and localized algorithm, proposed by Bahramgiri et al. [6], which achieves k-connectivity in a planar network by having each node increase its transmission power until either the maximum angle between any two neighbors is 2π/3k, or it is transmitting at full power.
MΠ* and MΣ* vary from the above by having each node probability weighted by its size [ 71].
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The line graph of G, denoted by L(G), is constructed by having a node in L(G) for each edge in G and an edge between two nodes of L(G) if the corresponding edges are adjacent in G.
By having two nodes listen for beacons and comparing the timestamps each returns, it is possible to determine the pairwise clock offset.
For instance, increasing by having a higher node density will increase the collision probability that results in decreasing the.
This structure reflects the principles of a bow-tie structure by having a hub node as center part, two short catabolic pathways, and a single anabolic pathway.
Another idea proposed is allowing traffic to pass through neighboring APs by having nodes explicitly switch channels since many nodes are in the transmission range of more than one AP [18].
In our experiments, we simulated packet dropping attack by having malicious nodes dropping control and data packets randomly or selectively with 25%% probability.
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by removing each node
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by having each target
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by associating each node
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by having each chapter
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