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At the other extreme is the best-case coverage problem, where the goal is to nd the farthest distance to sensor nodes that an agent traveling on any path in the sensor eld must have from the nodes even if it tries to stay as close to them as possible Provably optimal polynomial time algorithms for the best- and worst-case coverage problems are provided [29] Yan et al [34] examine the problem of differentiated coverage (corresponding to weighted deployments) in homogeneous WSNs A protocol is designed in which each node is able to dynamically decide a schedule for itself in order to guarantee a degree of coverage The schedule has an average energy consumption that is inversely proportional to the node density We highlight the work on coverage in heterogeneous WSNs next..

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java code 128 reader

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241 Differentiated Coverage in Heterogeneous WSNs In some applications, differentiated coverage is necessary This is when a different degree of coverage is applied to different parts of the network [34, 35] For example, some areas of a battle eld are of more interest than others Du and Lin [35] propose an algorithm for uniform coverage that can be extended to provide differentiated coverage of a heterogeneous WSN As in references 13 and 16, two types of nodes are assumed: a small number of high-end sensor nodes and a large number of low-end sensor nodes Each node is assumed to be aware of its location A logical grid is assumed to overlay the sensor eld with certain grid points requiring coverage k.

Non adaptive Protocol (S = 50 ms, CP = 50 ms) Non adaptive Protocol (S = 25 ms, CP = 75 ms) Adaptive Protocol (Uth = 0.5, K = 2) Adaptive Protocol (Uth = 0.3, K = 2) Optimal Adaptation Power Consumption Lower Bound

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In order to provide uniform coverage of the grid points, the goal is to design a node scheduling algorithm that ensures that all grid points have the required coverage while at the same time minimizes the total energy consumption and balances node energy consumption The high-end sensor nodes know the locations of the low-end nodes and can compute which low-end nodes cover a grid point In Figure 212, the low-end sensor nodes A, B, C, and D cover grid point 1 If k sensor nodes cover a grid point, then an ideal schedule has each node awake for T/k time and asleep for T T/k time, in a round T However, a low-end sensor node may need to cover other grid points.

Therefore the high-end sensor considers the assigned slots when each low-end sensor is awake and assigns a time slot that has the maximal overlap with the existing awake slots For example, if node D already has a slot of [0, T/4] for covering grid point 1, then the high-end node can assign an awake slot of [0, T/3] to D Node D need only be active during [0, T/3] in order to cover both grid points 1 and 2 If there is a con ict, then a node may require the assignment of additional slots in which it is awake After determining the node schedule for all grid points, the high-end node broadcasts it to all low-end sensor nodes The schedule is updated periodically to ensure the coverage algorithm is robust to sensor failure..

The gap area leaves a space or hole on the charts broker A registered representative of a brokerage firm who is paid commissions for accepting and placing orders for customers bullish An uptrending market or a period in which prices appreciate in value bull spread In most commodities and financial instruments, the term refers to buying the nearby month and selling the deferred month to profit from the change in the price relationship butterfly spread Buying and selling two spreads in opposite directions with the center delivery month common to both spreads calendar spread An options trade where one buys and sells options in different expiration months in the same underlying contract call option A derivative product that gives a buyer the right, but not the obligation, to be long or to be a buyer of an underlying derivative product at the strike price level.

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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