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You can also set the value of a new variable equal to two variables that contain string literal data. You can use this to personalize a user s experience. Users enter their names in an input text box, and you create a new variable to display a user s name combined with a greeting message, as shown in Figure 8-4. Again notice that the Expression checkbox is checked. If you re combining string literal data with a variable as in this example, add a space after the string literal data (the word Welcome in this example) and the variable s contents are correctly spaced when displayed in a dynamic text box. If you combine two variables with string literal data and need to place punctuation or a space between the two values, add the punctuation or space between the two variable names. Be sure to enclose the punctuation between quotation marks so it displays properly in a dynamic text box.

The VBA instructions for moving a range are very similar to those for copying a range, as the following example demonstrates. The difference is that you use the Cut method instead of the Copy method. Note that you need to specify only the upper-left cell for the destination range. The following example moves 18 cells (in A1:C6) to a new location, beginning at cell H1:

higher than Year 0003, and the ending prepaid expense account is $300 negative or lower than Year 0003. To calculate the dollar change and the percentage change, use the following equation: Period 2 Period 1 % Change / Period 1 Percentage Change

1941 Global Information-Based Algorithms In [25], routing of unicast traffic is addressed with respect to battery power consumption The authors research focuses on designing protocols to reduce energy consumption, increase the life of each mobile, and increase network life To achieve this, five different metrics were defined: (i) energy consumed per packet; (ii) time to network partition, where the network is partitioned because of node death; (iii) variance in power levels across mobiles; (iv) cost per packet; and (v) maximum mobile cost In order to conserve energy, the goal is to minimize all the metrics except for the second, which should be maximized As a result, a shortest-hop routing protocol may no longer be applicable; rather, a shortest-cost routing protocol with respect to the five energy efficiency metrics would be pertinent For example, a cost function may be adapted to accurately reflect a battery s remaining lifetime.

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n n p(w1 , w2 , x1 , x2 , y n ) =

The premise behind this approach is that although packets may be routed through longer paths, the paths contain mobiles that have greater amounts of energy reserves Also, energy can be conserved by routing traffic through lightly loaded mobiles because the energy expended in contention and retransmission is minimized The properties of power-aware metrics and the effect of the metrics on end-to-end delay are studied in [25] using simulation A comparison of shortest-hop routing and the power-aware, shortest-cost routing schemes was conducted The performance measures were delay, average cost per packet, and average maximum node cost Results show that usage of power-aware metrics result in no extra delay over the traditional shortest-hop metric This is true because congested paths are often avoided However, there was significant improvement in average cost per packet and average maximum mobile cost, in which the cost is in terms of the energy efficient metrics defined above.

The improvements were substantial for large networks and heavily loaded networks Therefore, a more energyefficient routing scheme may be obtained by adjusting routing parameters 1942 Local Information-Based Algorithms Most of the routing protocols may be considered global algorithms that incorporate global topology and other information Stojmenovic and Lin [22] consider the concept of localized routing algorithms in which routing decisions are made based on the location of a source node s neighbors and the destination Their paper assumes that the nodes have global positioning system (GPS) receivers to provide location information to nodes, which allows the nodes to use the least transmission power needed for reception The research considers networks that may be static, quasistatic, or mobile Stojmenovic and Lin define a new power cost metric based on the combination of a node s lifetime and distance-based power metrics.

Power, cost, and power cost, GPS-based localized routing algorithms are also proposed The goal of the power-aware algorithm is to minimize the total power needed to route a message from source to destination The goal of the cost-aware algorithm is to extend a node s worst-case lifetime The goal of the combined power cost algorithm is to minimize the total power needed and to avoid nodes with short battery lifetimes Stojmenovic and Lin also show that the algorithms are loopfree an important characteristic..