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The optimal cluster size as a function of the spatial data correlation is, nally, derived The most common approach for data aggregation is based on aggregation trees Some examples of this approach are illustrated in [35, 50, 51] In each of these studies, the goal is to nd the tree that produces the best performance in terms of energy consumption and time delay The tree-based approach, though, is sensible to variations of the network topology and link failure Such weaknesses are partially compensated by multipath-based schemes However, [52] demonstrated that multipath routing often results in message duplication, which would cause a higher overhead (energy consumption) To alleviate this problem, authors have introduced an operator capable of annihilating duplicated measurements An evolution of [52] is presented in [53] In this case, multipath routing [52] is used in some regions, while tree-based schemes are used in others.

The dimension of the regions is modi ed depending on the data aggregation requirements and on the link and node failure probability The disadvantage of this algorithm is due to the message overhead In [15], a cross-layer solution for routing and data aggregation is proposed H IGHLIGHTS In summary, data aggregation and data processing techniques can be valid instruments to reduce the amount of data sent over the network and, consequently, to reduce the energy consumption On the other hand, they might require higher storage and computational capabilities, resulting in a higher power consumption at nodes that perform data processing Cluster-based network architectures are particularly suitable to support data aggregation, since CHs are ideal candidates to perform data fusion/aggregation According to this perspective, it is advisable to use more powerful nodes as CHs in order to alleviate the problems that have been pointed out..

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Here D denotes the underlying database and t is understood in the tuple concept introduced in Section 3.2.4. There are also related support measures:

where C is the ground capacitance of the driven line. It is understood that all quantities are per unit lengths of the respective lines. The load on the transmission line is given by Tload . With these modi cations, the output voltage and current from the source section can be determined as in Section 3.4.1. The output voltage from the source section is the input signal for the next section, that is, the crossing section. An equivalent circuit of one section of the crossing section incorporating the effects of the ith crossing line is shown in Fig. 3.4.9. The driven line is coupled to the

abstract Reader getReader() abstract String getString() abstract void writeOut()

resulted in questioning and debating traditional gender roles. The majority of non-western women have signi cantly changed their position, with increasing numbers of them being highly educated and working outside the family. This meant that all women of different cultures and societies increasingly share the pressures that are hypothesised to increase western women s propensity to eating disorders. So yet again the opening of a theoretical frontier brings with it as many questions as it does inspirations. For example, does westernisation only mean image-identi cation or is there more to it How would the issue of westernisation relate to other issues such as urbanisation, modernisation and economic globalisation And even if we tried to break down the concept into constituent elements, would that be suf cient to explain a universal preoccupation with weight Or does weight mean perhaps much more than mere body regulation Is it a quest for refashioning the body Is the quest for refashioning the self (i.e. remaking of a new identity) able to translate and negotiate the impact of a volatile and constantly changing culture

Consider three attributes, A, B, and C, with respective domains dom(A) = {a1 , a2 , a3 , a4 }, dom(B) = {b1 , b2 , b3 }, and dom(C) = {c1 , c2 , c3 }. Thus the underlying joint domain of this example is the Cartesian product dom(A) dom(B) dom(C) or, abbreviated, the three-dimensional space {A, B, C}, or, even more abbreviated, ABC. Table 3.1 states prior knowledge about the possible combinations of attribute values in the form of a relation RABC : only the value combinations contained in RABC are possible. (This relation is to be interpreted under the closed-world assumption, that is, all value combinations not contained in RABC are impossible.) An interpretation of this simple relation is shown on the left in Figure 3.1. In this interpretation each attribute corresponds to a property of a geometrical object: attribute A is the color/hatching, attribute B is the shape, and attribute C is the size. The table on the right in Figure 3.1 restates the relation RABC in this interpretation.

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