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route is temporarily the shortest one with a much better channel quality than those found by the AODV, DSR, and DSDV protocols. Thus, the transmission of the packet is greatly speeded up. The periodic update of the route is adaptive to the geographically sensitive changes of the CSI, which occurs frequently in an indoor environment (e.g., a shopping mall). Thus, packets for the same source destination pair (i.e., in the same session) can travel through different routes, and load balancing is therefore automatically achieved. Indeed, in the RICA protocol, a busy device will refrain from forwarding RREQ and CSI checking packets, thereby shifting the load to other devices that are having fewer burdens. Such a load balancing effect can help keep the packet queue short and hence reduce the transmission delay. Using the CSI checking mechanism, sometimes a full broadcast in search of a route can be avoided. The data queueing delay at the source will be reduced because the source device can swiftly choose a route to the destination. In addition, the CSI checking mechanism can also result in shorter routes, which re ect the current topology changes and thus, the delay incurred at the extra intermediate devices will be reduced.

depreciation or equipment rental applies to all capacity states whether idle, productive, or non-productive. Maintenance costs would be applied to the maintenance subcategory. The end result is a cost map overlay using the same category and subcategory definitions. The cost map is another tool that provides information for management decisions. CIOs and IT organizations can use this cost information to determine the cost to provide services to customers. They can easily trace productive capacity to services and customers. They can also easily trace most of nonproductive capacity. Even buffer capacity cost is easily traced because it is dedicated to specific services and/or customers.

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In all four routing algorithms, when the traf c loads are relatively light, the end-to-end delay increases with the increase in speed of the mobile devices. The reason is that when the mobility is increased, there will be more link breakage. Therefore, the data packets have to be buffered in the source device and wait for the route recovery. This will obviously increase the packet endto-end delay. However, when we test all four protocols in the heavy load scenario (i.e., 8 packets per second with 20 source destination pairs) under a denser environment (100 devices in the eld), the end-to-end delay is the highest when the devices in the network are in low mobility. This can be explained by the following argument. For this rather high traf c load, more devices are competing for the wireless channel with only a very limited bandwidth; thus, a long queue in each device can very easily form because the route is longlived when the mobility is low. As the mobile speed increases, a long queue is less likely to form since link breakage occurs more often, and this leads to (1) most packets in the broken route being dropped and (2) traf c load spread to a larger number of devices and therefore fewer devices being unduly burdened. These two effects decrease the packet queueing delay at the source but at the same time increase the number of dropped packets as detailed below. The same phenomenon has also been observed in simulations reported by Johansson et al. [61] and Perkins et al. [111], respectively. 12.5.3 Successful Percentage of Packet Delivery

From the simulation results shown in Figure 12.6, we can see that taking CSI into consideration contributes to the reliability of packet delivery. Indeed, we can see that the RICA protocol outperforms the other three routing proto-

1.00 0.95 0.90 0.85 0.80 0.75 0.70 0.65 0

The more you communicate, the better to a degree of diminishing returns. We can clearly agree that a spokesperson who tweets twice and the most recent one was a year ago is not generating value for the company. But constant, banal chatter is not a plus.

Some portion of idle capacity cost is a cost to provide services while the remainder should not be assigned to services and customers Only offlimits capacity cost should be considered a cost to provide capacity for services and customers This is proper because otherwise, the capacity could not be provided at all Capacity that is not usable due to obsolescence or that is otherwise usable for other services and customers is not a cost properly attributable to current services and customers Yet many IT internal organizations expect their internal customers to pay for this capacity External IT organizations cannot charge their customers because their pricing is based on market conditions and not on their cost to serve Where significant idle capacity is present, the cost differences can be significant Without proper understanding and treatment of these costs, management decisions will be misguided.

0.95 0.90 0.85 0.80 0.75 0.70 0.65 0.60 0.55 0.50 0.45 0 2 4 6 8 10 12 14 16

2 4 6 8 10 12 14 16

Mobile speed (km/h)

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