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MAC algorithms deal with the mobile nodes in a special manner with regard to the static nodes In a sensor network composed by static nodes, after the con guration of the communication in the data link layer, the waste of energy in messages that are not information messages is going to be very low because the topology of the network will be the same most of the time Only when a sensor fails will the network need to be con gured again However, when there are mobile nodes, the density of con guration messages grows because the topology of the network changes One protocol that deals with mobile nodes is the SMACS-EAR (Self-Organizing Medium Access Control for Sensor Networks, Eavesdrop And Register) [1, 2] SMACS is a protocol that con gures the nodes of a sensor network in a distributed way and has a at topology for static nodes.



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Therefore we have to search the space of all possible graphs in order to find out whether there is a suitable graph For the simple relation used in Section 321 (cf Table 31 on page 56) this search is illustrated in Figure 71 It shows all eight possible undirected graphs over the three attributes A, B, and C together with the intersections of the cylindrical extensions of the projections to the subspaces that are indicated by these graphs Clearly, graph 5 is the only graph (besides the complete graph 8)2 for which the represented relation is identical to the original relation Therefore this graph is selected as the search result As discussed in Section 323, the relation RABC is no longer decomposable wrt a graph other than the complete graph if the tuple (a4 , b3 , c2 ) is removed.





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Copyright Thomas J. Lucier 2005. To customize this document, download it to your hard drive from Thomas J. Lucier s web site at www.thomaslucier.com/optionforms.html. The document can then be opened, edited, and printed using Microsoft Word or another popular word processing application.

In such situations one either has to work with the relation as a whole (ie the complete graph) or be contented with an approximation that contains some additional tuples Usually the latter alternative is chosen, since in applications the former is most often impossible because of the high number of dimensions of the world section to be modeled Often an approximation has to be accepted even if there is an exact decomposition, because the exact decomposition contains one or more very large maximal cliques (that is, maximal cliques with a large number of attributes), which cannot be handled efficiently.

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However, EAR is an extension of the protocol for mobile nodes that attempts to offer continuous service to the mobile nodes under both mobile and static constraints The key to the EAR protocol is to con gure the communication channel between a static node and a mobile node with the least number of messages transmitted by the static node Therefore, most of the energy is consumed by the mobile nodes This policy is based on the fact that the mobile nodes can have better autonomy or the chance to recharge their batteries in special places or with the use of alternative energy sources With the use of the EAR protocol, the topology is no longer at and the mobile nodes assume full responsibility for making and breaking connections with the static nodes The algorithm consists of different steps: 1.

Therefore the problem of decomposing a relation can be stated in the following more general way: given a relation and a maximal size for the maximal cliques, find an exact decomposition with maximal cliques as small as possible, or, if there is no suitable exact decomposition, find a good approximate decomposition of the relation, again with maximal cliques as small as possible Obviously, the simplest criterion for what constitutes a good approximation is the number of additional tuples in the relation corresponding to a given graph [Dechter 1990]: this relation cannot contain fewer tuples than the.

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