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(sensing rates) at the sensors, the corresponding buffer over ow times, and a matrix cost for the ME movements, the model and algorithms determine the sequence of visit to the nodes so that none of the buffers over ow General discussions on the advantages and challenges of controlled mobility are conducted in references 35 and 36 In the rst paper a new approach to exploiting mobility, termed Morph, is de ned, and the bene ts to sensor networks sustainability are shown and discussed In reference 36, considerations about the use of controllable mobility are more general and are followed by a detailed description of how mobility induces improvements in WSNs performance The problem of controlled data MULE-like mobility has been also recently addressed in reference 37 The authors rst propose an algorithm for avoiding sensor nodes buffer over ow while minimizing the speed of the mobile relay.

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A detailed discussion of this phenomenon is included in Papanastasiou et al [27] Spatial Contention-Induced Segment Loss Previous research has revealed that the way in which wireless transmissions reserve the area around the transmitter using an omnidirectional antenna leads to interference among transmitting nodes In particular, while a node is transmitting, if another transmission occurs, the signals superimpose and interfere with one another, leading to an undecipherable superposition at the intended destinations It is the responsibility of the MAC protocol, to coordinate transmissions in such a manner so as to maximize the number of concurrent transmissions that do not interfere with one another The number of such transmissions is referred to as spatial reuse [12, 25] and is a measure of optimality for the shared medium..

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They also extend this algorithm to the case where some of the packets have delay constraints (ie, they are urgent messages that have to be delivered to the sink within a given time since their generation) Finally, an investigation of the controlled use of relay nodes for data collection and subsequent report to the sink has also been proposed in reference 38 Although the authors recognize that moving the sink directly yields better resource utilization and hence longer lifetime, they argue that for certain applications, moving the sink is infeasible Therefore, having one or more resource-rich mobile relay nodes is remarkably helpful Given that the sensor nodes know about the current location of the relay node, routing protocols are presented for delivering the data from the sensors to the relay and from the relay to the sink and, nally, for determining the route of the relay.

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A decentralized MAC protocol, such as the one used in IEEE 802.11 ad hoc networks [4], may fail to achieve an optimal level of concurrency (i.e., optimal spatial reuse) and may not prevent collisions for transmitted segments. Such collisions are considered to contribute to the spatial contention along a path [13, 25, 28, 29]. Further note that this phenomenon is rare in wired networks because there is typically little interference between physical cables. Instead, in a wired setting the main cause of packet loss would be buffer contention in the forwarding nodes. When a packet is lost due to spatial contention, TCP reduces its sending rate (considering packet loss as a congestion indication event). However, this does not help alleviate spatial contention and instead can lead to repeated RTOs and unfairness in sharing the link s bandwidth [13, 28, 29]. If TCP were to be able to identify the cause of the packet loss as spatial contention, it would not need to reduce the sending rate; however, such a distinction would normally require some sort of feedback from the link layer [25].

trend-line angle, the Gann Cardinal Square, and the timing of market events based on the degrees of a circle such as 30, 60, 90, 180, and 360 degrees. If the market made a bottom today, he would try to calculate the next turning point using these numbers to project into the future. Gann also was big on anniversary dates of big events for instance, 1 month, 3 months, and 12 months. There was also the 144-day period, the only square Fibonacci number. Some chartists believe in filtering out a lot of these calculations and just using the basics. Gann methods alone would make a book and are far too extensive to cover here. Gann wrote a book, How to Make Profits in Commodities, which would be a great place to start if you want further information on his teachings.

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Error-Induced Segment Loss Wireless transmissions are, in general, more error-prone than their wired counterparts [30] As such, the error checks at various layers in the networking stack note erroneous receptions more often in a wireless than in a wired context, which leads to the rejection of the misreceived segment Again, such segment losses are considered by TCP as congestion indication events even though they may simply re ect variability in the transmission conditions Intuitively, if the error conditions persist, TCP throughput suffers In principle, it is possible for TCP to avoid reducing its sending rate if there is feedback from the link layer on the cause of the segment loss However, the effectiveness of such feedback may be questionable under realistic wireless conditions [31] 103.

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java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader