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node v needs to be rotated and subsequently mirrored. In both instances it is easy to see that the rotation depends on the angles u and v depicted. Two nodes u, v can distinguish the situation they are in by using a node w Vu Vv . Figure 2.11 depicts the coordinate systems of two nodes u, v and a node w that is a neighbor to both. We consider the angles w and w formed by the vectors uw and vw in the coordinate systems of u and v, respectively. As illustrated in Figure 2.12, the position of the node v makes it possible to detect whether or not mirroring is necessary. Final Positioning. After adjusting directions of local coordinate systems, the goal is that all the nodes in the network compute their position in the network coordinate system. The network coordinate system is in fact chosen as the local coordinate system of one of the nodes in the network, say u. In this case, all the nodes in the network have to adjust the directions of their coordinate systems to the direction of the coordinate system of the chosen node, and also every node has to compute its position in the coordinate system of this node. The procedure is as follows. Nodes in the local view Vu of u know their position by direct computation. In turn, a two-hop neighbor, say w, of u obtains its position as the vector sum of the position vector uv of a one-hop neighbor v of u and the position vector vw. For additional details and experimental



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Capability #1 .

Ext #2

providing intermittent connectivity only Since a node that wishes to transmit data may be located outside the Infostations coverage areas for an extended period of time and must always transmit to an Infostation directly, large delays may result Upon arrival in a coverage zone, the node can transmit at very high bit-rates Thus, Infostations trade connectivity for capacity, by exploiting the mobility of the nodes It is assumed that the Infostations are connected Small and Haas [22] propose a Shared Wireless Infostation Model (SWIM), where SWIM is a marriage of the Infostations concept with the (epidemic) ad hoc networking model (propagation of information packets within SWIM is identical to epidemic routing protocol [20]) The only difference is that any one of the many Infostations could serve as a destination node, while in reference 20, there is only one destination node for a given packet.





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PRODUCT A3 Development Specification Requirements Flow Down & Traceability SUBSYSTEM A33 Development Specification

PRODUCT A3 PRODUCT A3 Capability #11 Capability #11 Capability #12 Capability #12 .. .. Capability #1n Capability #1n

People who designed the user interface will need to sit down with the beta test group of business users and listen to their ideas for improvements to certain screens Business people in the pilot group smooth off the rough edges as they test the system and make suggestions for adjustments In this process, advocates for the system emerge from among the beta test group They will feel a personal connection to the success of the system because the system takes on a look and feel influenced by their suggestions These people sell the benefits of the system to the rest of the enterprise and often become the ones to train their co-workers in using the new system Exhibit 317 shows the operation of the Build phase..

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A real-world application based on the Infostation model is presented in reference 22 One of the bene ts SWIM has, by allowing the packet to spread throughout the mobile nodes, is that the delay for the replicas to reach an Infostation can be signi cantly reduced However, this comes at a price: Spreading the packets to other nodes consumes network capacity Again, there is a capacity delay tradeoff This tradeoff can be controlled by limiting the parameters of the spread for example, by controlling the probability of packet transmission between two adjacent nodes, transmission range of each node, or the number and distribution of the Infostations However, how to choose these controlling parameters is not discussed in reference 22 Let T be the time from the packet generation until the rst time the packet reaches one of the infostations.

Capability #11 .

Ext #2

For random waypoint and group mobility patterns, a three-state Markov Chain model can be presented as in Figure 86, where S denotes a node with no packets, I denotes a node having packets, R represents nodes of oad their packets to infostations, is the nodes contact rate, and is the contact rate per infostation Using the three-state Markov chain model, the cumulative distribution of T can be easily obtained A relay-based approach to be used in conjunction with traditional ad hoc routing protocols is proposed in reference 23 This approach takes advantage of node mobility to disseminate messages to mobile nodes The result is the Mobile Relay Protocol (MRP), which integrates message routing and storage in the network.

SUBSYSTEM SUBSYSTEM A33 A33 Capability #111 Capability #111 .. .. Capability #11n Capability #11n

Ext #2

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সর্ব-শেষ হাল-নাগাদ: ১৭ ফেব্রুয়ারি ২০১৯. ডাউনলোড (সফ্ট্ওয়্যার). 1. BanglaTTS-1.0- windows-installer (Download). 2. BongoOCRSetUp_1.1_revised (Download).

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