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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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478 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>1000Output powermW50000 5 10 15 20 25 30 35 40Interfernce−30dBm−40−500 5 10 15 20 25 30 35 40Detection range4Meters200 5 10 15 20 25 30 35 40TimeFIGURE 10.6Output power, interferences, <strong>and</strong> detection range as a function of time in seconds.power; however, the interference level is too high <strong>and</strong>, therefore, the readerreaches maximum power <strong>and</strong> enters the selective backoff scheme. It is alsoobserved that as the reader backs off to low power value, the interferencelevel increases, meaning that other readers are taking the advantage <strong>and</strong>accessing the channel. This plot also demonstrates the changes in backofftime corresponding to the desired range achievement; for example, timeinterval 12 to 24 sec <strong>and</strong> 28 to 37 sec.The performance in sparse networks is discussed first. With the minimumdistance of 9 m between any two readers, the average percentageof time r that the desired range is attained across all readers is presentedin Figure 10.7. Note that each reader has a maximum detection range of3 m without interference, <strong>and</strong> the desired range is set to 2 m in the presenceof multiple readers. The DAPC is observed to have superior performanceover the two PPC algorithms for this sparse network. The DAPC convergesto 100% desired range achievement with the appropriate parameterestimation <strong>and</strong> closed-loop feedback control described in Section 10.3. Theresults justify the theoretical conclusions. It is also shown that Beta(2, 2)performs better than Beta(0.1, 0.1) in terms of r. With a Beta(2, 2) distribution,every reader will be on <strong>and</strong> transmitting at medium power most of thetime. With sparse networks <strong>and</strong> small interferences, the medium power

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