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Figure 14 Comparison of communication cost.
Fig. 18 Comparison of communication loads from tracking 20 targets.
Figure 3 Comparison of communication overhead among EDDK, LEAP, and OTMK schemes in the network initialization phase.
Therefore, their communication overhead is greater than that of EDDK. Figure 4 Comparison of communication overhead among EDDK, LEAP, and OTMK schemes in the new node joining phase.
We present a comparison of communication overhead for Self_USS, ETUS, TBUT, and plain AODV in the presence of 30% selfish nodes in Table 2.
A comparison of communication overhead among EDDK, LEAP, and OTMK schemes in the new node joining phase is shown in Figure 4 in which denotes the number of new nodes that simultaneously appear in the neighboring area.
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Investigators may use these statistics to make comparisons of communication patterns across time, pre/post intervention, across different groups of teammates, and across different units within and outside organizations.
Fig. 3 Comparison of the communication need of our protocol and the one used for comparison with variable embedding dimension m: The communication need for the smart meter is considerably lower with our proposed embedding protocol (denoted ours) than with the protocol using homomorphic encryption (denoted HE).
Fig. 20 A comparison of accumulated communication loads using real-world dataset Fig. 21 Snapshots of the persistent tracking system.
We also provide a good comparison of FSO communication noise models considering a moderate atmospheric turbulence condition.
Table 1 presents a comparison of the communication and computational complexities between DTO-MROD and LIKE-DORE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com