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The following Java APIs are used for fast Code 39 decoding from image file source. The first group allows you to choose Code 39 as target barcode symbol and direct our Java barcode decoder control to detect and read this barcode type only.

10.4 MOBILE SINKS A data dissemination protocol, termed SEAD (Scalable Energy-Ef cient Asynchronous Dissemination), is de ned by Kim et al. [39] where a tree-like communication ` structure is built and maintained. Differently from previous data centric solutions a la directed diffusion [40], which also use tree structure for data and interest gathering and dissemination, according to SEAD the sink moves (randomly) to certain sensor nodes in the tree (access points) from which it collects the data. Communication between the sink and the access points can be multihop. This happens when the sink moves away from the access points. The tradeoffs that SEAD attempts to obtain concern data latency and the energy needed for tree recon guration so that the access points are closer to the current position of the sinks. In this way, SEAD is shown to outperform other solutions for data dissemination in WSNs where the sink does not move, such as directed diffusion [40], TTDD [41], and ADMR [42]. Building and maintaining routes to a mobile sink is the topic of references [43 45]. The aim is that of minimizing these operations overhead. In the rst paper, local update techniques are described for detecting disconnections and perform route repair in sink-oriented trees. The ERUP protocol is proposed in reference 44 for conducting route rediscovery only in the vicinity of the damaged route. In reference

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2 Understanding the Effects of Segment Reduction The previous section summarized causes of segment loss in multihop wireless communications, placing special emphasis on the fact that for noncongestion-related packet losses, TCP s reduction in sending rate negatively impacts throughput Although there has been signi cant research interest on TCP s interaction with packet losses due to mobility and errors, as mentioned in Section 1031, such losses are not a primary concern when examining ACK-thinning techniques This holds true because employing ACK-thinning does not affect TCP s reaction to drops of segments due to errors or mobility; these may be handled separately and orthogonally to ACK-thinning [32] Instead, the reduction in throughput as a result of spatial contention-related losses is the main motivation for the techniques presented in the next section (Section 104).

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java code 39 reader

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java code 39 reader

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45, initial routes are constructed from the nodes to the sink according to any viable WSN routing Given that the sink is moving, if the routes are no longer valid, forwarder nodes are designated to extend the current routes All these works have in common that the mobility of the sink is unpredictable and references uncontrollable For example, in references 39 and 46, sinks move according to the random waypoint model The use of mobile sinks with predictable mobility has been more recently presented in 47 49 and 50 In these works the sinks (airplanes) y over the sensor eld and gather the sensed data periodically While the movement of the sink is fully controllable, it is external to the network infrastructure; that is, the trajectories are not determined by network components and activity.

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java code 39 reader

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In broad terms, spatial contention is caused by (a) the competition of DATA segments for transmission time as they travel through the multihop path and (b) the inability of the MAC mechanism to coordinate properly those transmissions It has been shown in previous research [25] that, as the path length increases, segment loss due to spatial contention is higher than that from buffer contention In the case of 80211 transceivers, it has also been demonstrated that the fewer the number of segments that.

The main contribution of these papers is the energy-ef cient transmission to the passing sink [47, 48, 51] In reference 49 the authors consider heterogeneous sensor networks made up of two types of nodes Type 0 nodes do the basic sensing, perform short-range communications, and are partitioned into clusters whose cluster head is a type 1 node The cluster heads take care of receiving data from type 0 nodes (possibly through multihop routes), do some sensing, aggregate data, and perform long-range transmissions to the aircraft Each passing of the aircraft triggers a new data sensing and data collection cycle The aim of the paper is to determine the optimum node deployment (ie, the densities of each type of nodes) and the nodal energy needed to achieve a given network lifetime (numbers of data gathering cycles) while ensuring sensing coverage and radio connectivity with high probability.

java code 39 reader

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Please find out whether, the Barcode Reader comes with a Java library exposing APIs that can be used to manipulate the Barcode Reader .

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