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involves a hierarchical organization: Sensor nodes are grouped into clusters, formed based on criteria such as communication range, number and type of sensors, and geographical location Clusters are assumed to be controlled by a single command node and have their own gateway nodes, which act as cluster heads Sensors in a cluster receive commands from and send readings to the cluster gateway node Gateway nodes of different clusters are able to communicate over long-haul communication links All sensors are assumed to be stationary In addition to non-real-time data generated in the network, the network also tries to recognize and track targets in individual clusters using images and video feeds In this study, the aim is to nd paths within a particular cluster under real-time constraints, without explicitly addressing communication among gateways Given a cluster of sensor nodes, paths are computed centrally by gateways.

java pdf 417 reader

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java pdf 417 reader

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As previously shown, cost can be approximated as a linear function of power consumption for a given outage probability Figure 1213 shows the cost in CAD versus PCO for POut = 00001 for a single node We can see that when the relay radio is off, the cost is heavily dependent on the expected value of the arrival rate We can see that the cost varies between 358 and 350 CAD We can also see that employing power saving at the SMAP will help signi cantly reduce the cost of the nodes, especially when accurate traf c forecasting is available to the designer based on traf c demands and the network topology We now integrate the previous results in order to estimate the potential of power saving for WLAN mesh networks To facilitate the evaluation of the results, Figure 12.

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java pdf 417 reader

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Nothing can stop the man with the right mental attitude from achieving his goal; nothing on earth can help the man with the wrong mental attitude. Thomas Jefferson

To this end, a cost is associated with each link A link cost is a weighted sum of physical length of the link, residual energy of the sender, expected lifetime of the sender assuming current power consumption rate, and the estimated error rate of the link Using these link costs, the gateway computes k-shortest paths between individual nodes and the gateway itself However, this computation is not suf cient to satisfy the delay constraints of ows Based on precomputed k-paths between sources and the gateway, the gateway also computes the expected delay on every link Assuming perfect knowledge about the demand of data sources and a xed ratio r of resources used for real-time ows, a queuing model is formed This queuing model is used to compute the delay between data sources and the gateway.

java pdf 417 reader

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java pdf 417 reader

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14 shows the power consumption versus the call arrival rate for different relay radio utilization levels It is interesting to observe the effect of the relay radio utilization on the dependency of power consumption to the call arrival rate We can observe this by comparing the two cases when the relay radio is on and when it is off First, if we consider the no relay case, the power increases from approximately 0 W to 125 W while the arrival rate varies from 0 to 0075 calls per second The curve is a straight line with slope 1667, while for the case when the relay radio is on, the power increases from 175 to 225 W again in a straight line with slope 67 Therefore, we notice that the slope has increased 2.

The path computation algorithm aims to nd a common ratio r such that end-to-end delay requirements of all nodes are satis ed for at least one of the k-paths associated with each data source Once computed, the resource ratio r is broadcast to all nodes along with the selected paths to route information in the network..

5 times, signifying that the dependency on the call arrival rate increases when the relay radio is sleeping or has minimal traf c From our discussion and from the results shown in this section, we can see that limiting the call arrival rate in order to satisfy QoS constraints also provides a signi cant opportunity for power saving, which in turn leads to network cost savings..

This work has an interesting approach to the QoS provisioning in the network where both real-time as well as non-real-time data ows are considered in the network The proposed solution is expected to perform well when the size of the cluster is small However, the link cost function helps minimize the energy consumption for appropriate weights for different components of the cost The authors do not comment on the selection of the weight parameters Furthermore, the assumption of knowing the data rates of individual sensor nodes as well as the up-to-date state information of relay nodes at a central location is far from being realistic While this algorithm is a nice attempt to solve a complex problem, it only does so at the expense of limiting simpli cations and assumptions of cluster-wide state information 134.

java pdf 417 reader

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java pdf 417 reader

PDF417Reader (ZXing 3.4.0 API)
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java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader

java pdf 417 reader