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Some trading firms have an overload capacity on their servers, and that can cause you to lose connections In that case you need to log off and then log back on pretty straightforward but when you clicked enter, was your order accepted Are you in the market or not If you need to exit a position and the connection goes down, frustration and panic can set in quickly The solution is to work with a brokerage firm that offers support and allows you to call in orders without a tremendous increase in commission rates..

whose numerator is the sum of Euclidian distances from vi to every other landmark and the denominator is the sum of the number of hops from vi to every other landmark. The ratio represents the average distance of a hop between landmark vi and any other landmark. In a second round of advertisements and controlled network ooding, each landmark vi communicates its correction value cvi to all other nodes. Corrections are collected by each nonlandmark node. For example, the correction for landmark v1 is cv1 = (6 2)2 + (2 5)2 + (5 2)2 + (4 5)2 = 1.04 4+3

Figure 11.15. Example and phases of the DPE. (a) First, the beacon nodes starts the recursion. (b) Then a node determines its (two) reference nodes, (c) estimates its position, and (d) then becomes a reference by broadcasting this information.

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localization recursion is kept, it is easy to choose between the two possible solutions: The most distant point from the recursion origin is the right position of the unknown node This is the base of the DPE [11, 12] The DPE algorithm is divided into four phases (Figure 1115) In the rst phase, the recursion of such a system is started from a single point by the beacon structure (Figure 1115a) In the second phase, a node determines its (two) reference nodes and estimate its distances to these nodes (Figure 1115b) In the third phase, the node computes its position (Figure 1115c), and then becomes a reference by sending this information to its neighbors (fourth phase, Figure 1115d) This way, the recursion of such a system goes from the center to the edge of the WSN.

It is the average distance of one hop, according to landmark v1 . Each nonlandmark node ends up with a correction c, received from one of the landmarks. A distance estimate to every landmark is calculated. For every landmark i = 1, . . . , n, the distance is de ned as di = c hi where hi is the number of hops to landmark vi . For the nonlandmark node u, if c = c1 , then d1 = 1.04 2 = 2.08, d2 = 1.04 1 = 1.04, and d3 = 1.04 3 = 3.12. This algorithm has been improved by Langendoen and Reijers [17]. 2.4.4 Area Delimiting Methods The algorithm presented in this section aims at locating the position of nodes, but without examining features of radio signals received from localized nodes. The algorithm, however, assumes that there are a number of nodes that, at the beginning, know their location, either by con guration or by using the GPS. The bounding box algorithm is a method delimiting that area where a node yet to be localized is likely to be logically contained. The bounding box algorithm uses a grid model that divides the area in squares. Positions are given in reference to these squares, numbered using x and y indexes. Wireless communication ranges are also expressed as a number of squares. Hence, the coverage of a node can be expressed as a squared zone. The position of a node, whose location is initially unknown, can be bounded as the intersection of all the squared zones of its position aware neighbors. This information is obtained through advertisements. This procedure, called the bounding box algorithm, was proposed by Simic and Sastry [18]. We present the algorithm in details hereafter.

The complete DPE algorithm is shown in Algorithm 3, and its communication complexity is the same as that of ooding This approach leads to a localization system that can work in a low dense sensor network Besides, the controlled way in which the recursion is made will also lead to a system with lower and predictable errors But like the RPE, this technique has the disadvantage of propagating the localization error 1144 Localization with a Mobile Beacon (LMB) Some recent works [42, 46] have proposed the use of mobile beacons to assist the nodes of the WSN in estimating their positions A mobile beacon is a node that is aware of its position (eg, equipped with a Gps receiver) and that has the ability to move among the sensor eld This beacon can be a human operator, an unmanned vehicle, an aircraft, or a robot.

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