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Many applications of sensor networks (eg, tracking of moving targets) require a speci c class of sensor networks that provide sensing coverage, that is, every point of a geographic area must be within the sensing range of at least one sensor node A simpli ed formal model assumes that every node N has the same sensing range, which is a circle with radius Rs centered at N Thus, for a sensor network covering an area A, the union of the circular sensing ranges of all network nodes must at least contain the area A In a similar way, a simpli ed formal communication model can be de ned by using a unique communication range Rc .

make it dif cult for the con ict to subside. These involve psychological transformations. When groups are involved, there are changes in group and community dynamics. The psychological changes that occur involve the development of negative attitudes and beliefs about the other, the development of competitive and hostile goals, and the deindividuation and dehumanization discussed earlier. As R. K. White (1984) described, an intensely negative image of the other begins to develop, and the other becomes regarded as immoral, inhuman, and evil. When groups are involved, they become polarized. They become increasingly extreme in hostile attitudes and develop norms that resist compromise as well as contentious group goals that contribute to in-group solidarity at the expense of the out-group. They select militant leaders, become more liable to the problems of groupthink (Janis, 1983), and initiate the development of militant subgroups. The entire community may become polarized as members are forced to choose sides and neutrality becomes impossible without one s loyalty becoming questioned.

The communication network, which is often referred to as the unit-disk graph, has a bidirectional communication link between any two sensor nodes X and Y, if and only if the Euclidean distance between X and Y is less than Rc Xing et al [6] investigated properties of greedy routing algorithms in sensing covered networks having the double-range property, that is, Rc/Rs ! 2 Focus on this special class is motivated by the geometric analysis from Wang et al [7], which showed that a sensing covered network is always connected if it has the double-range property The geometric analysis and simulation results from ref [6] demonstrate that greedy geographic routing is a viable and effective routing scheme in sensing covered networks, and it turns out that the range ratio Rc/Rs has a signi cant impact on the quality of greedy routing in sensing covered networks.

The following tests are only a sample of the total available and include the most widespread and those with the best simulation results Eigenvalue/Characteristic Root Criteria From a correlation matrix eigenvalues can be extracted (formerly the common name for eigenvalues was characteristic roots, which is why the criteria in this section use the term roots so often) These have many characteristics, with the important one (for the present purposes) being that they are the sum of squared correlations of the variables with a principal or maximum likelihood factor Each of these factors accounts for the maximum amount of the variance of the correlation matrix They are extracted in order of size Hence, the set of roots for a problem gives the sizes of the extracted factors from the largest to the smallest.

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