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NOTE: EACH MESSAGE RETURNS A VALUE For every message handled by a window procedure, some appropriate value must be returned. The Windows CE on-line documentation specifies the values to return for each message under various circumstances.

You can also add else statements to create a more complicated conditional statement. In the following example, if the condition returns true (for example, the value of number is 3), the statement between the first set of curly braces runs and the alert variable is set in the second line. If the condition returns false (for example, the value of number is 30), the first block of code is skipped and the statement between the curly braces after the else statement runs, as in the following:

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nodes The points in a grid in a model domain (q.v.) for which a solver (q.v.) will obtain a numerical solution (q.v.) of the governing equations. nonionized Adjective describing an atom which has no net electrical charge. nonuniqueness A problem af icting deterministic modeling (q.v.), in which it is formally impossible to conclude that the set of input values used, and output values obtained, represent the only possible solution to a given mathematical model. nucleus That part of an atom in which both protons and neutrons reside. numerical dispersion Errors arising during the solution of the advection-dispersion equation (q.v.) by nite difference (q.v.) or nite element methods (q.v.), which manifest themselves in a spurious increase in the effects of dispersion (q.v.) on solute concentration distributions. numerical model A mathematical model (q.v.) solved using a numerical solution (q.v.). numerical solution An approximate solution to a given mathematical model, obtained by replacing terms containing derivatives (i.e. differential expressions such as h/ x) by simple algebraic expressions relating to subdivisions of nite portions of the entire model domain (q.v.). oasis A form of depression spring (q.v.) in an arid region, from which all natural groundwater loss occurs by evapotranspiration (q.v.), without surface out ow. object-oriented programming An approach to computer programming which de nes both the nature of a data structure and the types of operations/functions that can be applied to the data structure. The data structure is thus de ned as an object that includes both data and functions. Programming is used to create relationships between a range of objects, which can inherit characteristics from other objects. ombrotrophic An adjective describing wetlands (q.v.) which receive all of their water from rainfall.

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1351 PEGASIS: Chain of Reporting Nodes Lindsey, Raghavendra, and Sivalingam [35] proposed a framework for energyef cient data gathering algorithms in wireless sensor networks Their poweref cient gathering in sensor information system (PEGASIS) protocol [35] rst organizes sensors into a chain, by a centralized algorithm (eg, the sink can decide about ordering of reports) Thus, sensors are initialized as c0, c1, , cn21 Data gathering is performed in rounds In round k, rst nd i k mod n Each round consists of n iterations In each iteration, only one sensor is sending a message, containing data gathered by that sensor Iterations are performed as follows: c0 sends to c1, c1 to c2, , ci21 to ci Then cn21 sends to cn22, cn22 to cn23, , ci 1 to ci Finally, cisends the gathered data to the MC.

0 where xi = (xi , xi+1 , . . . , xj ), i j , and the initial state x (k 1) will be n 1 part of the speci cation of Qk . Since P (Xn |Xn k ) is itself an ergodic

The distance to the MC is assumed to be larger than the distances between the sensors Chains can be dif cult to construct in multihop sensor networks For single-hop networks, initialization algorithm needs to run, or the MC needs to assign reporting indices to individual sensors Once constructed, when sensors change activity status (from active to passive) or stop functioning, the order scheme needs to run again, or a maintenance procedure is needed The scheme is also not sensitive to the energy levels of the sensors, as different sensors consume different amount of energy, depending mainly on their distances to the MC 1352 LMST- and Geocasting-Based Data Gathering Several localized solutions are proposed in refs [33] and [34] One is a localized algorithm that rst constructs LMST (or other sparse structure such as the relative neighborhood graph (RNG)).

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