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direction If C is hit for the second time and none of the visited nodes is closer to D than U, face exploration is continued as if started at node U, but the radius of circle C is exponentially increased (rC rrC ) In order to avoid a complete face exploration, the algorithm applies an elaborate early fallback technique to return to greedy routing as soon as possible However, it is proved in ref [18] that algorithms will lose their asymptotic optimality when resuming greedy routing as soon as they arrive at the rst node closer to the destination D than the concave node U GOAFR maintains two counters to keep track of the number of nodes closer to and the number of nodes not closer to the destination than the starting node U of the current face traversal.

If face exploration has visited up to a constant factor s more nodes closer to D, GOAFR will interrupt face traversal, advance to the node seen so far that is closest to the destination D, and the packet will be handled in greedy mode again Thus, GOAFR does not explore the complete face in general, but on the other hand, greedy routing is not resumed at the rst node closer to destination D than concave node U The latter property of GOAFR is nally used in ref [19] in order to prove its asymptotic optimality Finally, from simulation results it turned p out that r0 1:4, r 2, and s 1=100 are good choices for practical purposes A simpli ed example of GOAFR is depicted in Figure 124, where source node S will forward in greedy mode to node M, which has no neighbor closer to destination D.

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Health problems among Latin-American and Middle-Eastern refugees in the Netherlands: Relations with violence exposure and ongoing sociopsychological strain Journal of Traumatic Stress, 13(4), 619 634 Horowitz, M J, Wilner, N, & Alvarez, W (1979) Impact of Event Scale: A measure of subjective stress Psychosomatic Medicine, 41, 209 218 H ppe, M, & Janke, W (1994) The nuclear plant accident in Chernobyl experienced by men and women of different ages: Empirical study in the years 1986 1991Anxiety, Stress, and Coping, 7, 339 355 Hyman, I, Vu, N, & Beiser, M (2000) Post-migration stresses among Southeast Asian refuge youths in Canada: A research note Journal of Comparative Family Studies, 31(2), 281 293 Jacobs, J R, & Bovasso, G B (2000) Early and chronic stress and their relation to breast cancer Psychological Medicine, 30(3), 669 678 Karanci, N A, Alkan, N, Balta, E.

Thus, the recovery strategy of GOAFR will begin exploration of face F1 in the clockwise direction At node L, face traversal hits the circle centered at node D, and the algorithm switches to exploration in the opposite direction Each routing step updates the number p of nodes closer and the number q of nodes not closer to the destination D When arriving at node P, a certain threshold condition p 1=3q holds ( p 2, q 3, and s 1=3) and the message will be handled in greedy mode again For arbitrary unit-disk graphs (ie, no restrictions regarding minimum node distance and maximum node degree), cost metrics divide into two classes, linearly bounded and superlinear cost functions The rst ones are lowerbound by a linear function, while for the latter there exists no such function A theoretical result from ref.

[19] reveals that for any localized memoryless routing algorithm A, there exists a node con guration where the cost of the path produced by A is unbounded with respect to the path produced by the shortest weighted-path algorithm if a superlinear cost function is considered Thus, discussion of asymptotic optimality is reasonable only if restricted minimum node distance, maximum node degree, or linearly bounded cost metrics are considered Standard cost metrics like hop count or Euclidean distance are linearly bound from below, while energy metrics de ned as a polynomial da , with a 1 and d being the distance between sender and receiver, fall into the class of superlinear functions However, as discussed in Section 125, Routing with Energy-Aware Cost Metrics, from a practical point of view even energy-aware metrics are often considered to be of the form d a c, with c .

0, and are thus linearly bound in practice In order to prove asymptotic optimality for linearly bound cost metrics and arbitrary unit-disk graphs, Kuhn et al described an improved version of GOAFR , which utilizes a routing backbone instead of using all possible edges from the.

, Sucuoglu, H, & Aksit, B (1999) Gender differences in psychological distress, coping,.

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