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Nutrition Examination Surveys I, II, III (NHANES I-III; Flegal et al., 1998; Kuczmarski et al., 1994) allow a comprehensive examination of the changing rates of overweight and obesity over the past four decades. NHES evaluated data collected from 1960 to 1962 and reported an overweight prevalence of 43.3% in adults. Nearly a decade later, the data from NHANES I, conducted in 1971 to 1974, indicated an overall prevalence of 46.1%, a level which remained relatively constant during the next decade, as re ected in the 46.0% prevalence observed in NHANES II, conducted in 1976 to 1980. However, the results of NHANES III, conducted in 1988 to 1994, revealed an alarming increase in the prevalence of overweight individuals to 54.9%. Particularly disturbing were the rates of obesity (BMI 30), which increased 10% among women and 8% among men during the 14 years between NHANES IIIII (Leigh, Fries, & Hubert, 1992). Figure 6.2 presents the prevalence rates of obesity from the four population surveys conducted between 1960 and 1994.

These resistances are slightly more accurate than the expressions given by Barrett and Clement [14], as they give the correct limits in the four cases of large or small R, and large or small vapour density, ve , or, equivalently pressure, pve . However, we have not included here correction terms arising when vapour pressures or densities are not very small compared to those of the gas, air in our case, as they are not generally relevant to environmental problems. The dimensionless ratios of the conductive heat current to the latent heat carried by the mass current have been termed surface condensation numbers [24] in the continuum region, and are given by the inverse of the corresponding resistance ratios: Cns = RMD /RHC = kT ( )2 /(L D ve (T ( )) (3.50)

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Madruga, The core-assisted mesh protocol, IEEE Journal on Selected Areas in Communications, 17, 8, pp 1380 1394, 1999 UCLA Computer Science Department Parallel Computing Laboratory and Wireless Adaptive Mobility Laboratory, GloMoSim: A scalable simulation environment for wireless and wired network systems, available at http://pclcsuclaedu/projects/domans/glomosimhtml E Cheng, On-demand multicast routing in mobile ad hoc networks, M Eng thesis, Carleton University, Ottawa, Canada, Department of Systems and Computer Engineering, 2001 H Lim and C Kim, Multicast tree construction and flooding in wireless ad hoc networks, in Proceedings of the 3rd ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Boston, August 2000, pp 61 68..

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It is worth noting that there is an interesting interplay between the amount of loss in data aggregation and the amount of energy expended to effect it. As we are about to show, if we are willing to expend slightly more energy, lossless data aggregation can be achieved. The corresponding trade-off is interesting in its own right, being characteristic of choices that present themselves in the design of protocols for wireless sensor networks. For illustration purposes, assume that it is necessary to determine the maximum of the bit codes stored by the sensors in Ai, j and refer to Figure 4.6. To solve this problem, all the sensors in Ai, j that have collected relevant information engage in the following protocol, which is guaranteed to aggregate the values into the maximum. Assume that each sensor stores a d-bit code for the range.

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