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28 29 to change the route, since any route will be interfered with by either connection 4 15 or 33 36. The connection 4 15 will also not change route because none of the nodes in the connection face interference from the neighboring connection. Hence, in the suboptimal scenario, ideally both the connections 19 30 and 33 36 will have half the throughput of the ones in the optimal scenario. This example illustrates that a greedy local view of the network scenario does not always lead to a globally optimal routing con guration.

Harvey delighted in this Apparently, he felt no regret for damaging (maybe permanently) the marriage of this handsome couple from the South He now had feverish, bulging eyes that spoke volumes about his pleasure at getting the better of these two people, for having coaxed them into doing something that they would regret This wasn t like Harvey at all not the generous and kind man I had met in the past couple of days The young husband was now sweating, breathing hard, and increasingly angry His wife, now also angry, raised her bid to $102 There were sighs from the back of the crowd, and I placed my hand on the $100 Guys, I said, let s just stop here Harvey won t make you pay this He s just trying to prove a point I turned to Harvey.

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There is a trade-off between expending processing resources monitoring the content of the user s conversation and reserving that processing resource for communications Suppose it is only one- fth as expensive to topic-spot as to transmit the content The CR could advise the user that it is switching to rapid voice mail mode, a power management mode in which the radio listens to a 2 second chunk of speech before sending it If the chat is about location, the CR could advise the user that the location shown on the map is correct and it could highlight the water tower in the user s heads up display when he tries to transmit I can t see the water tower.

7.6 MODELING MHWNS In this section, we discuss the different efforts to model MHWNs to enable characterization of network performance as well as derivation of effective routing con gurations. Given that the problem is similar to classical traf c engineering, with the exception of the effect of the wireless channel (susceptible to fading and the effect of interference), a critical component of these schemes is how they model the channel and capture the interference effects.

In other words, the CR could assist the military user locally in understanding where everybody (self included) is located, shaping the traf c by answering questions locally that can be answered or assisted by the CR Of course, no military user would want his own radio to behave like this, preferring to talk to whoever, whenever But in training, the difference could be clear if it were to turn out that those with the assistance from the CR are more ef cient and capable and more likely to accomplish the mission because of the conservation of resources (one battery for a mission with the CR, but you have to lug two along for the legacy radio) Using That Knowledge for Personal Safety: If a sportsman is in the woods from dawn till dusk, then the battery of the integrated GPS LVHF cell phone should last until dusk as well.

761 Asymptotic Capacity Estimation of MHWNs Some of the earliest efforts in modeling MHWNs targeted formulation of asymptotic limits of capacity Gupta and Kumar [23] considered a general wireless network and derived bounds on the capacity of such networks They studied two kinds of network: (1) arbitrary networks where each node can choose an arbitrary destination, packet sending rate, and transmission range, but nodes transmit at a constant rate of W bits per second over the channel; and (2) random networks where the transmission range for each node is xed, but each node chooses a random destination and transmission rate In their derivation, n nodes are located in a unit disk area of a plane in the case of arbitrary networks.

Some sportsmen will use the radio more than others, so the commercial AACR could proactively advise the user when it is likely that there will be no battery left at dusk Speech recognition can generate text for low power transmission For example, the common phrase, Where are you can be reliably converted from speech to text and Huffman coded for very low power transmission The companion CR could convert that text to speech, yielding a voice request to the other sportsman The companion CR could similarly speech-code common responses, dramatically reducing the need to talk Such location updates may use far less battery power than speech The commercial AACR could keep the radio transmitter powered off until speech or text traf c is offered, powering up in the appropriate mode, and powering down again immediately.

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