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We assume that the transmission range of sensors can vary with time (in fact, for each sensor our protocol may use only two different ranges: R and i R, where i is a measure of the sensor s distance to the sink) The sensors do not move We virtually cover the network area by a cycle sector of angle (see Figure 158) The cycle sector is divided into n ring sectors or slices The rst slice has radius R (ie, the sensors transmission range) Slice i (2 i n) is de ned by two cycles sectors, one of radius i R and the other of radius (i 1) R Taking a suf ciently large angle and/or by taking multiple sectors, we can cover the whole area.

To understand how launching with PDE JUnit works, let's first take a closer look at some of the other launching options Each of these launching options defines a different setup for running a particular target We start with the simplest one: Run As > Java Application It starts a main class from a project in the workspace in a separate VM, as shown in Figure 122

As far as energy dissipation is concerned, we assume that the energy spent at a sensor when transmitting data is proportional to the square of the transmitting distance Our protocol s performance analysis can, however, be extended to any energy cost model Note that the energy dissipation for receiving is not always negligible with respect to the energy when sending, such as in the case when transmissions are too short and/or radio electronics energy is high (see reference [13]) In the analysis, we only count (for simplicity) energy spent during transmissions Since, however, in our protocol (see next section) there is one receipt for each transmission, it is clear that even when energy during receipt is more or less the same as energy during transmissions, the analysis can be extended easily to the full case (counting both transmissions and receipts)..

2 1

Next let's consider the setup when launching a JUnit test with Run As > JUnit Test This launching option starts a JUnit test runner executing tests in the workspace in a separate VM, as shown in Figure 123

This will relate directly back to your purpose, but in general, we would recommend a 10-year time horizon for a forecast of an ongoing DB plan for a healthy company This is recommended for several reasons including: Five years or less would be too short and highlight only tactical, short-term solutions rather than strategic Longer than 10 years is too long since the compound effect of all assumptions over time reduces the confidence level of any decision Between 5 and 10 years, you can readily see how decisions made today will affect results while at the same time being able to evaluate longer-term effects on a strategic basis CASE STUDY Here s an example of when a short time horizon is appropriate.

De nition 1551 The area between two consecutive cycle sectors is called a ring sector (or slice ) Let Ti (1 i n) be the ith ring sector of the network T1 stands for the ring sector with center the sink and radius equal to R De nition 1552 Let Si be the area size of the ring sector Ti of the network (1 i n) We wish to solve the energy balanced data propagation problem , that is, propagate data to the sink in such a way that the average energy dissipation in each sensor is at each time the same The average energy dissipation per sensor is taken to be the fraction of the total energy spent by sensors in a ring sector over the number of sensors in that sector.

Run As > Run-Time Workbench is a PDE-contributed launching option It launches a run-time Eclipse with the plug-in projects contained [1] in your workspace Starting a second Eclipse will also create a run-time workspace that is initially empty (see Figure 124)

Because of our assumption that the number of sensors in an area is proportional to the area size, the average energy dissipation per sensor is calculated by dividing the total energy spent in a sector by the sector size Here we do not study medium access aspects, assuming the existence of underlying MAC protocol 1552 The Protocol We assume that each event is sensed by only one sensor This assumption is not restrictive since we may consider multiple sensing and propagation of an event by various sensors as sensing and propagation of many different events A sensor sensing an event generates a data message that should be eventually delivered to the sink On each ring sector, Ti , a number of events occur and a corresponding number of messages (one for each event) is generated.