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Finally, we consider as a measure of ef ciency of the two protocols the number of alive particles, capturing the network survivability in each case. As in the case of the energy, the more particles that are alive, the better. A source of crucial information is also the particular manner in which particles die over time, such as (a) the geographical distribution of the nodes that die out earlier and (b) the evolution of energy consumption in critical sensors such as those lying close to control center. De nition 15.6.3. Let hA (for alive ) be the number of alive sensor particles participating in the sensor network. 15.6.7 Experimental Results We start our experimentation by evaluating the effect of the particle density on the performance of the new protocol VTRP when compared to the already existing one, LTP. We generate a variety of sensor elds in a 2000-m by 2000-m square; in these elds, we drop n [1000, 8000] particles uniformly distributed on the smart-dust plane. In each execution, we generate a single event by randomly selecting a particle in the network. The results of this experiments are shown in Figure 15.10. It is evident that the effect of particle density has signi cant impact on the performance of LTP. We observe that for low densities (i.e., n 2000) the protocol almost always fails to report the event to S, while when n 5000 the success rate increases approaching very fast one. This can be justi ed by taking into account the average degree of each particle for various network sizes n. Note that similar obser-

By moving to 100 percent bonds with a buy-and-hold strategy, it reduced its investment management fees by over 95 percent 3 Reduces Boots financial risk Again, matching the assets and liabilities reduces the risk to Boots shareholders of having to make up any future deficit Other issues that put the Boots decision into context include (1) pension plan benefits in the United Kingdom are typically linked to inflation (as opposed to US DB plans, where the benefits are fixed once you retire); (2) Equitable, a very large insurance company, was failing in the United Kingdom; and (3) the stock market had just passed its peak and had dropped 25 percent when Boots began its shift to bonds Enterprise Risk Management Lessons in the Boots Case Regardless of whether you agree with Boots decision or not, from an ERM standpoint we can only applaud its process.

We want to add a view that will change colors based on the results of running tests The views in Eclipse live in pages of the workbench window, as shown in Figure 131

Figure 15.10. Success rate (I s ) for LTP and VTRP for various particle densities (n P [1000, 8000]).

vations for LTP have been made in reference 5 On the other hand, the mechanism of VTRP that increases the transmission range of the particles successfully overcomes these problems Even for the cases of very low particle densities, VTRP manages to propagate the information reporting the realization of the event to the sink, with high probability We continue our experimentation by investigating the performance of the protocols in the case of multiple events For this set of experiments we drop n = 5000 particles uniformly distributed in a 2000-m by 2000-m square eld Then in each simulation round, we generate one event at a random location in the sensor eld that is sensed by only one particle (given that this particle has enough power to sense it); that is, we use a high event generation rate This is repeated until a total of 9000 events are generated.

The following formatting conventions are used throughout the book:

Note that this is the rst time that the LTP protocol is evaluated under the setting of multiple events Figure 1511 depicts the success rate of the two protocols as the multiple events are generated Clearly, VTRP achieves better results than LTP and in fact manages to propagate almost two times more events The superiority of VTRP is explained by the fact that in LTP the particles that are closer to S will always participate in the propagation of the messages The continuous transmissions of messages will eventually exhaust the power of this small group of (highly critical) particles, rendering the rest of the network useless (although there are still energy supplies available) since no further events can be reported to S VTRP overcomes this problem by activating the Transmission Range Variation Phase.

That is because the firm followed the classic steps of ERM: 1 Identify risk What are the risks present in a DB plan 2 Quantify risk How big are the risks Always focus on the largest risk first 3 Separate risk What risks do we want to bear What risks can we transfer to the marketplace 4 Manage risk After implementation, continue to monitor the situation and make changes as needed..

Bold Used for the names of user-interface elements, including menus, buttons, tabs, and text boxes

As soon as the particles close to S die, the neighboring nodes will sense it (during the Search Phase) and adjust their transmission range appropriately, thus bypassing them and reaching the sink directly..

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