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Table 1: Energy consumed by the different in- network aggregation algorithms
2003
"... In PAGE 9: ... Even for the no-aggregation case, where packets are for- warded immediately after they are received, placing the sink in the center yields fresher data. Aggregation type / Scenario Corner Random Center Number of packets sent 0 100 200 300 400 500 600 None None None Periodic Periodic Periodic PHSimple PHSimple PHSimple PHAdjusted PHAdjusted PHAdjusted Figure 3: Number of data packets transmitted per round From Table1 , which shows the energy consumed by the different algorithms, we observe that, for our experimental setup, energy consumption can be re- duced to a third when data aggregation is used. Note that all aggregation schemes exhibit similar energy... ..."
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TABLE II AVERAGE RELATIVE RANGES (IN %) WITH NETWORKS OF DIFFERENT SIZES
Table 1.1. Summary of Data Dissemination Protocols for Sensor Networks (supported properties or functionalities: 1. multiple sinks 2. sink mobility 3. load balancing 4. robustness 6. real time 7. in-network processing 8. query dissemination to targeted regions)
Table 6: Medium Adaptation Degrees for an aggregation operator
1997
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Table 1: RAM and Code resource requirements for the three languages Tofu supports. System RAM in- cludes the ASVM and all underlying subsystems (e.g., the networking stack). For TinyScript and motlle, this means a single thread and no functions. TinySQL in- cludes set of functions and handlers needed for in- network aggregation.
"... In PAGE 7: ...2 Flexibility: Languages Tofu currently supports three languages, TinyScript, motlle and TinySQL queries. Table1 lists the resource requirements of a TinyOS image with a Tofu VM that supports one of the languages. We discuss TinySQL in Section 5.... ..."
TABLE II FAR apos;s, FRR apos;s, and EER apos;s (in %) for networks with various numbers of centers. Each network contains 2 to 16 centers contributed from the corresponding speaker and the rest are from the anti-speakers. For example, the network with 10 centers has 8 centers from the corresponding speaker and 2 from the anti-speakers, i.e. (8+2) centers.
Table I shows the characteristics of the networks. The first two columns show the network dimension in the numbers of nodes and (directed) links. The following columns display the maximum and minimum traffic load of a node, and the maximum and minimum traffic load of a link. (In these networks the total incoming traffic, , equals jNj(jNj 1), due to the assumption of uniform traffic.)
TABLE IV Error rates (in %) for networks with comparable numbers of parameters. The second column lists the total number of centers per network, including speaker centers and anti-centers. For example, (12 + 49) means that the networks have 12 speaker centers and 49 anti-centers. The ratio between speaker centers and anti-centers is approximately equal to 4.0. The columns under `Different Dialect apos; represent the error rates obtained by using impostors of different dialect with respect to the true speakers, whereas the term `Same Dialect apos; means that the speakers and impostors are of the same dialect.
Table 1. Structures in the interstellar medium. (Adapted from Jura 1987.)
"... In PAGE 1: ... Progressively higher-density regions in this medium constitute what we normally call intercloud medium, cloud complexes, dif- fuse clouds, molecular clouds, clumps and cores, respectively, although the boundaries between these classi cations are fuzzy (a natural consequence of drawing arbitrary classi cation boundaries in a continuum). Table1 . gives the ranges of densities and temperatures for the above structures (adapted from Jura 1987).... ..."
Table 7: Medium Adaptation Degrees for the different families of implication operators
1997
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