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American social science, including what was to take form as social psychology, stepped onto a platform built of a sturdy scienti c rationality and a curiously optimistic anticipation of scienti cally guided social control As J W Sprowls re ected in 1930, American politics, philanthropy, industry, jurisprudence, education, and religion have demanded a science of control and prediction of human behavior, not required by similar but less dynamic institutional counterparts in other countries (p 380) The new understandings of human nature as complex, amoral, and not entirely rational, however, could have yielded other intellectual renderings Many European scholars constructed quite different theories, self-consciously re ecting upon the complexities of the unconscious and the implications of nonlinear causality and refusing to set aside two challenging but fundamental manifestations of human sociality: language and culture They.

Independent of the physical-layer model being used (eg, the combined Friis and two-ray ground model used in ref [45] or the log normal shadowing model used in ref [41], protocols dealing with physical-layer impact require nodes to estimate the probability of receiving a bit or a packet based on either signal strength, distance between nodes, or merely by deriving statistics from a number of bits or packets recently sent between two nodes The basic property of each of realistic physical modeling is a rapidly decreasing packet reception probability For example, in the shadowing model used in ref [41], the packet reception probability p(x) depends on the probability of receiving a bit successfully, the length of the packet, and the distance x between two nodes Suppose R can be determined in that way, so that the packet error rate at distance R is 05.

Then the function p(x) may have approximately the following values: p(0) 1, p(0:1R) % 1, p(0:5R) % 0:9, p(R) 0:5, p(1:5R) % 0:25, and p(2R) 0 The given values are only an illustration, but give a suf cient intuition on how to design physical layer aware routing schemes Kuruvila et al [42,43] described geographic routing schemes that are amenable to any realistic physical-layer model (which follows the basic properties of the wireless medium) and consider two basic medium access-layer approaches, with xed and variable packet lengths, while cases both with and without acknowledgments are being considered The described methods assume that all nodes use the same transmission power for sending messages, and, in most cases, optimize the expected (packet or bit) hop count on a route.

In the case of routing without acknowledgments, the goal is to nd the route with the maximal probability of delivering a packet at the destination In order to apply position-based routing, the rst step is to nd a reasonably accurate approximation for the bit and packet reception probabilities for the given physical-layer model In refs [42] and [43], Kuruvila et al considered the lognormal shadowing model and used the following function P(q, x) as an approximation within 5% accuracy of the actual one The functions P(q, x) 1 (x=R)qb =2 for x , R and P(q, x) (2 x=R)qb =2 otherwise, where b is the power attenuation factor (between 2 and 6) The constant R is determined so that the value of the considered probability at distance R is P(q, R) 0:5 The value q depends on the length of the considered entity.

The covert data is stored in a non-printing field of the RTF file. Additionally, the data is put at the end of the RTF file, which may cause it to not display, also. When the RTF file is opened (in MS Word), the hidden data is not detected. A unique 'marker' is put in the Overt2 just before the covert data. This is a better, more reliable way to mark the covert data than just relying on the field headers.

Bit reception probability is b(x) P(1, x), while, for instance, for packets 120 bits long the packet reception probability is p(x) P(2, x) The reason for using the approximation rather than the actual function is to reduce computation time at each node (if the protocol is used in practice) and in order to simplify the analyses and simulation of the protocol First, consider the case of routing with xed-size packets and acknowledgments using the same packet size If the acknowledgments are of a different packet size, the algorithms described are still applicable by changing only the corresponding formulas involving acknowledgments Let C be the node currently holding the message, D be destination node, A the forwarding neighbor considered, c jCDj, a jADj, and x jCAj (see Fig 129) Several localized position-based algorithms are described in ref [42].

The following discussion describes only the best performing ones, which also apply a general design principle The progress made by.

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