asp.net pdf 417 reader

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a transmission radius equal to 30 m, which imposes a maximum of 8 neighbors per node Nodes periodically generate packets at a rate of 05 bps (low traf c scenario, typical of sensor networking) Packet size is equal to 512 B The buffer size of the sensor nodes varies among 10, 50, and 100 packets Energy consumption follows the TR1000 speci cations [66] An ideal awake/asleep schedule is assumed in which nodes consume energy only when transmitting or receiving packets The channel is ideal (no errors occurs when transmitting) and it has a data rate equal to 250 Kbps In the case of the data MULE architecture, the number of available MULEs is an important parameter: 1, 2, and 4 data MULEs can be a good starting point In the case of data MULEs the deployment area is divided into 81 cells.

The MULEs move from the center of one cell (source) to the center of another one (destination) according to the random waypoint model [27] The MULE travels at a speed of 1 m/s While traveling from the source to the destination cell, a MULE stops at intermediate cells for data collection, gathering packets from all (and only) the sensors in a cell The sojourn time spent in each cell is 1 s MULE queues are considered unbounded (in fact, they can contain 1000 packets, which ensure no over ow, ie, data loss) The sink to which the MULEs deliver the collected packets is (statically) placed at the center of the deployment area Once at the sink, a MULE stays in its proximity for a time necessary to empty its queue Meaningful parameters for GMRE and the other heuristics are as follows.

public interface IAdaptable { public Object getAdapter (Class adapter); } The getAdapter() method answers a particular interface Callers of getAdapter() pass in the class object corresponding to the interface (see Figure 314)

The sink moves among 8 8 sink sites (grid deployment) at the speed of 1 m/s A shortest path-like routing is used to deliver data in a multihop fashion from the sensor to the current site of the sink The parameter tmin is set to 50 K (best-performing value among the many tested) The parameter dmax is equal to 190 m In all the experiments, every node generates over 3000 packets during the simulation time Finally, in order to obtain statistically meaningful results, the same experiment (simulation run) should be performed on different networks for an enough number of times That is why results are obtained by averaging over experimental outcomes from 100 different network topologies Table 101 gives a bird s-eye view of the results of the comparison between GMRE and the data MULE solutions.

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The class object is typically retrieved with a class literal (for example, IPropertySourceclass) GetAdapter() could have taken aString argument instead, but then the compiler couldn't check to see whether the interface exists at compile time GetAdapter() returns an object castable to the given class (or null if the interface isn't supported) Here is an example of how the Properties view queries the currently selected object for its IPropertySource interface:

When the network traf c is low and the network deployment area size is limited (as considered here), we observed that both GMRE and the data MULEs deliver all.

TABLE 10.1. GMRE and Data MULEs, General Comparison GMRE Data latency Energy consumption Packet delivery ratio Computational needs

<extension point="orgeclipseuiactionSets"> <actionSet id="orgeclipsecontributionhelloactionSet" label="Hello Action Set"> <action id="orgeclipsecontributionhelloHelloAction" label="Hello"> </action> </actionSet> </extension>

generated packets to the sink As a rule of thumb, successful packet delivery for low/medium network traf c is more challenging for the MULE solution than for the multihop approach (GMRE) The packet delivery ratio degrades as the deployment area grows in size, since the inter-arrival time of a MULE at a cell grows and over ow of sensor node queues can On the other hand, GMRE is always able to deliver packets to the sink The advantage of using solution data MULEs-like is clear when energy consumption and sensor node computational capability are considered Given the single-hop nature of data exchange between the sensors and the MULEs, nodes are not required to implement a full protocol stack Basic physical and MAC layer functions are suf cient for all data communications This implies lower nodal energy consumption and lower node complexity and cost.

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Each button is supported by an Action, the object that will be invoked when the button is pressed The buttons in the toolbar are grouped into action sets, sets of related actions, as shown inFigure 311 For example, the buttons that create Java elements are an action set The above declaration states that we are contributing a new action set, point="orgeclipseuiactionSets", which contains a single action, labelled "Hello" Note once again that the IDs are globally unique but the names of elements are intended for human consumption