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Also, solutions for any application may require multiple principles for addressing the needs for all nodes For instance, while some nodes may be able to self-localize, others may need to employ collaborative or centralized computations, depending on the situation at which it is in Multiple methods would also improve the robustness of the localization system..

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In reference 18, it is assumed that the characteristic pro le can be accurately predicted over the time interval of T They model the dynamic of the networks as space time graph Routing algorithms in the constructed space time graph are developed using dynamic programming and shortest-path algorithm The routing algorithm nds the best route for messages by looking ahead The idea of the time layers in the space time graph comes from time-expanded graphs [43] The time-expanded graphs approach translates a problem of network ow over time to a classical static network ow, and standard tools of graph theory such as the Floyd Warshall algorithm can be applied to compute the shortest path for a source destination pair Figure 84 gives a link active schedule and for link AC, a space-time graph is illustrated in Figure 85.

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This chapter presents the basic principles of localization, the particular challenges with respect to solving the problem in wireless sensor networks, and some existing techniques to solve the problem. This topic is likely to generate more research ideas in future because of its importance in almost all sensor network applications.

In all these approaches under the deterministic case, an end-to-end path (possibly time-dependent) is determined before messages are actually transmitted However, in certain cases, the topology of the network may not be known ahead of time In the following section, we review some of the protocols designed for stochastic or random networks..

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128 EXERCISES 1 State some of the different techniques that can be used to measure or estimate distances from a wireless beacon generator or base station to a wireless node for localization Give examples of systems that use each technique For each technique, explain the technical challenges, if any, of their usage for localization in wireless sensor networks 2 The locations of three wireless bases stations are as follows: BS1 = (0, 0), BS2 = (20, 5), and BS3 = (6, 25) The wireless system estimates that the distance from a wireless node to BS1 is 15 units, that from BS2 is 7 units, and that from BS3 is 194 units Determine the location (x, y) of the wireless node using triangulation Write all the equations and show your work If you use a software tool such as MATLAB, attach printouts of your code.

t=5

Is it really necessary to get distances from three base stations to estimate the location Explain 3 Given that in an angle-based localization scheme as shown in Figure 126, the measured angle can have errors up to 5 , determine an expression for the corresponding error in the location estimate for a sensor node located at an arbitrary location (x, y) Assume that the region of operation is a 10-ft 10-ft area and the beacon generators are located at the three corners as shown in Figure 127a Plot the error distribution within the square area 4 Repeat the above problem when the beacon generators are located on a straight line along the base of the square that is, at locations (0, 0) (the left bottom corner), (5, 0), and (10, 0) 5.

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t=4

How is the approach for probabilistic localization different from that of estimation of location coordinates under measurement errors Explain by comparing an existing probabilistic localization scheme based on ranging with that of atomic multilateration..

t=3

1. D. Estrin, R. Govindan, J. Heidemann, and S. Kumar. Next century challenges: Scalable coordination in sensor networks. In ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM), August 1999, pp. 263 270. 2. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. Wireless sensor networks: A survey. Computer Networks, 38:393 422, 2002. 3. A. Rao, S. Ratnasamy, C. Papadimitriou, S. Shenker, and I. Stoica. Geographic routing without location information. In Proceedings of ACM MOBICOM, September 2003, pp. 96 108.

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java ean 13 reader

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java ean 13 reader

java ean 13 reader

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java ean 13 reader

java ean 13 reader