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It seems a shame that the work from the previous chapter can t be reused. A wired network and a wireless network don t seem that different. It is possible. There are devices called wireless bridges that act as a client on an existing Wi-Fi network and have an Ethernet jack to plug in an Ethernet-based gadget. Wireless bridges are usually marketed toward gamers who want to hook their game consoles up to Wi-Fi. A few companies produce portable wireless access points that can also operate in a wireless bridging mode. One of the most notable of these is the AirPort Express with its built-in AC adapter and audio interface that works with iTunes. Figure 12-7 shows an Asus WL-330g portable access point connected to the SitePlayer circuit from the previous chapter. The WL-330g comes with a spare DC adapter plug for use with a USB port, perfect for you to use as a power jumper cable. Cut off that USB side of the plug and solder the cable to the SitePlayer board to tap off its 5 VDC power the WL-330g requires. A short Ethernet patch cable completes the wiring.

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Sensor network applications such as surveillance systems may require sensor nodes to meet certain soft real-time communication constraints. Only a few results that adequately address such real-time requirements exist for sensor networks. The SPEED protocol by Lu et al. [8] is the rst greedy-based protocol addressing real-time guarantees for sensor networks. SPEED utilizes the notion of relay speed in order to select one best next hop node in a greedy manner. Relay speed toward a next hop node A is calculated by dividing the advance in distance by the estimated send delay toward A. The single-hop delay toward a neighbor A can be estimated by continuously measuring the round-trip delay between current unicast data transmissions and the receipt of related acknowledgments. The estimated single-hop delay is calculated by means of an exponential weighted moving average over the previous average with the current single-hop delay. The latter is obtained by subtracting the receiver-side processing time from the round-trip delay experienced by the sender.

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Rationale and General Tenets It s all about the World Exploratory data analysis is an approach to learning from data (Tukey & Wilk, 1966/1986) aimed at understanding the world and aiding the scienti c process. Although these may not be ghting words among psychologists and psychological methodologists, they were for Tukey as he rst raised his concerns with the statistical community. Tukey s emphasis on the scienti c context of data analysis leads to a view of data analysis as a scienti c endeavor using the tools of mathematics, rather than a mathematical endeavor that may have value for some real-world applications. A number of changes to standard statistical practice are implied in this view. First, the statistician cannot serve as an aloof high priest who swoops down to sanctify a set of procedures and decisions (Salsburg, 1985). Data analysts and scientists (not mutually exclusive categories) must work interactively in a cyclical process of pattern extraction (mathematics) and pattern interpretation (science). Neither can function without the other. This view has implications for the organization of academic departments and organization of graduate training. Second, because the effort of data analysis is to understand data in all circumstances, the role of probability models relates primarily to con rmatory aspects of the scienti c process. This leaves a wide swath of the scienti c processes

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where the residence time of the MU follows a general distribution of (1/mWISP), and its probability density function (pdf) is fWISP(t) and Laplace transform is fWISP t . Let the interarrival time of each MU entering a network domain follow an exponential distribution with a mean of 1/l and rWISP = l/mWISP. The average authentication delay for any speci c authentication scheme i can be de ned as X di t j a j 8i 1; 2; 3; 4; 5 22:5 Tinter i

Pioneer 2 robot T The distance increase from 0 (no increase) to 3 (max). T The angle with respect to the object from 0 (back turned) to 3 (robot frontally to the object) Sensed by the robot using the sonar array sensor. Measured from the robot to the black cylinder and encoded directly in cm and degrees. AIBO robot T The distance increase from 0 (no increase) to 3 (max). T The angle with respect to the object from 0 (back turned) to 3 (robot frontally to the object). Sensed by the robot using the images provided by the colour camera. Colour segmentation process and area calculation taken from Tekkotsu software. Encoded in cm and degrees. Measured from the robot to the pink ball.

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