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Figure 1.17 shows the block diagram of an encoding scheme. The source generates information symbols at a rate R. The channel is a BSC, characterized by a capacity Cs = 1 ( p) and a symbol rate s. Mutual information is maximized by previously coding the source in order to make it have equally likely binary symbols or bits. Then, an encoder takes blocks of bits and converts them into M-ary equally likely symbols [1, 2] that carry log2 M bits per symbol each. In this way, information adopts a format suitable for its transmission through the channel. The BSC encoder represents each symbol by a randomly selected vector or word of n binary symbols. Each binary symbol of the vector of length n carries an amount of information equal to log2 M n. Since s symbols per second are transmitted, the encoded source information rate is R= The Shannon theorem requires that R C = sCs which in this case means that log2 M Cs n log2 M nCs M = 2n(Cs ) 0 < Cs (78) (79) (80) s log2 M n (77)

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communication protocols that are location-aware and perhaps location-dependent [7,30 33]. The practical deployment of many wireless sensor networks results in sensors initially unaware of their location: they must acquire this information postdeployment. Further, due to limitations in form factor, cost per unit and energy budget, individual sensors are not expected to be global positioning system (GPS)-enabled. Moreover, in many probable application environments, including those inside buildings, hangars, or warehouses, satellite access is drastically limited. The location awareness problem, then, is for individual sensors to acquire location information either in absolute form (e.g., geographic coordinates) or relative to a reference point. The localization problem is for individual sensors to determine, as closely as possible, their geographic coordinates in the area of deployment. Prominent solutions to the localization problem are based on multilateration or multiangulation [30 36]. Most of these solutions assume the existence of several anchors that are aware of their location (perhaps by endowing them with a GPSlike device). Sensors receiving location messages from at least three sources can approximate their own locations. For a good survey of localization protocols for wireless sensor networks, we refer the reader to ref. [37]. For the sake of completeness, we now outline a very simple localization protocol for wireless sensor networks that does not rely on multiple anchors.

Double-click the icon for your C: drive (unless you installed Windows in a different location, in which case you double-click that drive letter). If you are using Windows XP Professional Edition, double-click the Windows folder. If you are using Windows 2000, double-click the WINNT folder. You might see a warning that says This folder contains les that keep your system working properly; you should not modify its contents. If so, click the words below it that say Show the contents of this folder. Otherwise, proceed to the next step. Scroll through the folders until you nd one labeled Temp (see Figure 18-8). Right-click it.

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3.6 WIRELESS ACCESS PROTOCOL (WAP)

Proportion of training session (%) Figure 9.5 The proportion of time spent in various activities (along with standard error bars) during a typical practice session.

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An array is a group of elements of the same type that have a common name; you refer to a specific element in the array using the array name and an index number. For example, you may define an array of 12 string variables so that each variable corresponds to the name of a month. If you name the array MonthNames, you can refer to the first element of the array as MonthNames(0), the second element as MonthNames(1), and so on, up to MonthNames(11).

For paths of length 6, an error event of length 3 generates a sequence that can be adopted as correct or not, with equal probability. Paths with weights equal to or larger than 4 will be erroneously decoded as Pe = 6 3