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modeling questions related to algorithm design in Section 44 The reader is provided with a survey of models that in uence the feasibility and ef ciency of certain operations on sensor networks We draw some general conclusions in Section 45, and we point out interesting areas for future research in Section 46 42 MODELING THE SENSOR NODES CONNECTIVITY A rst and foremost modeling question concerns the connectivity of sensor nodes: Given a set of nodes distributed in space, we need to specify which nodes can receive a transmission of a node Throughout this chapter, if a node u is within a node v s transmission range, we say that u is adjacent to v, or, equivalently, that u is a neighbor of v In the absence of interference (cf Section 4.



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This code section is a common linked-list iteration loop. In this example, the compiler has assigned the current item s pointer into ESI what must have been called pCurrentItem (or something of that nature) in the source code. In the beginning, the program loads the current item variable with a value from ebp + 0x10. This is a parameter that was passed to the current function it is most likely the list s head pointer. The loop s body contains code that passes the values of two members from the current item to a function. I ve named this function ProcessItem for the sake of readability. Note that the return value from this function is checked and that the loop is interrupted if that value is nonzero. If you take a look near the end, you will see the code that accesses the current item s next member and replaces the current item s pointer with it. Notice that the offset into the next item is 196. That is a fairly high number, indicating that you re dealing with large items, probably a large data structure. After loading the next pointer, the code checks that it s not NULL and breaks the loop if it is. This is most likely a while loop that checks the value of pCurrentItem. The following is the original source code for the previous assembly language snippet.





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3), this relation is typically symmetric (or undirected); that is, if a node u can hear a node v, also v can hear u The connectivity of a sensor network is described by a graph G = (V, E), where V (vertices) is the set of sensor nodes, and E (edges) describes the adjacency relation between nodes That is, for two nodes u, v V , (u, v) E if v is adjacent to u In an undirected graph, it holds that if (u, v) E, then also (v, u) E; that is, edges can be represented by sets {u, v} E rather than tuples The classic connectivity model is the so-called unit disk graph (UDG) [1] The name unit disk graph stems from the area of computational geometry; it is a special case of the so-called intersection graph.

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Figure 14.2 Operations conducted in the course of preprocessing of the examined images. At the top is the original image of a pancreatic duct showing symptoms of chronic inflammation. At the bottom, a diagram of the pancreatic duct contours with visible morphological lesions. Analysis of real, and verification of apparent, skeleton ramifications [26,27]. Smoothing the skeleton by averaging its elements [28]. The application of a specially prepared straightening transformation, transforming the external contour of the examined structures in a two-dimensional space to the form of 2D width diagrams, showing contours of the numerically straightened organ. This transformation retains all morphological details of the analyzed structures (in particular their deformations and pathological lesions) [29]. For this reason, it is a convenient starting point for further analysis of the properties of shape features of the analyzed structure and for detecting such deformations (with the use of syntactic methods of image recognition). This constitutes the basis for an automatic understanding of the nature of pathological lesions, and for a diagnosis of the disease under consideration. Recognition and automatic understanding of the looked-for lesions of organ shapes with the use of syntactic methods of image recognition [30] is possible with a prior application of the specified sequence of operations, which together constitute the previously mentioned image preprocessing stage. Details relating to individual stages of preprocessing of the analyzed images were discussed at length in the above-quoted publications of the authors. These stages have also been specified in Figure 14.2.

PLIST_ITEM pCurrentItem = pListHead while (pCurrentItem) { if (ProcessItem(pCurrentItem->SomeMember, pCurrentItem->SomeOtherMember)) break; pCurrentItem = pCurrentItem->pNext; }

Notice how the source code uses a while loop, even though the assembly language version clearly used an if statement at the beginning, followed by a do...while() loop. This is a typical loop optimization technique that was mentioned in Appendix A.

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