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Thus, they may consume too much energy, which is usually a precious resource for battery-driven nodes in the network This motivates the design of energy-aware routing protocols in wireless ad hoc networks So far, most proposed schemes use the minimum necessary transmit power for reliable communication at each hop, and they use this power level as the link metric in next hop selection Various link metric functions based on transmit power level are proposed to achieve different design goals of energy-ef cient routing protocols Neely et al [45] consider dynamic routing and power allocation for a wireless network with time-varying channels The time-varying channels are modeled as stochastic processes S(t) taking values on a nite-state space and ergodic with time average probabilities S for each state S Time is slotted with slots normalized to integral units.

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At the beginning of each timeslot, nodes determine transmission rate on each link by allocating a power matrix P(t) subject to the power constraints Link rates are determined by a corresponding rate power curve (P(t), S(t)) The authors rst characterize the notion of network layer capacity region, and then they propose dynamic routing and power control (DRPC) algorithm to achieve the capacity region and offer delay guarantees with consideration of the full effects of queueing In the network, packets randomly enter into the system at each node and wait in output queues to be transmitted through the network to their destinations The DRPC algorithm is basedRelated: Printing Codabar NET , ITF-14 Printing NET , Make Interleaved 2 of 5 NET.

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Several database systems exist for Linux While some are commercial packages, others are free (open source) Considerations when choosing a database include the amount of data to be stored, the type and frequency of transactions, security features, multi-user support, access method, speed, and accuracy MySQL will be used for this lesson because of its ease of use and also because of the extensive selection of third-party tools available freely on the Web As of June 2000, MySQL was released under the GNU GPL-license, which makes it free for use in commercial systems The main feature of MySQL is that it is multithreaded, optimized for speed and for use with large tables MySQL gains its speed advantage at the cost of such desirable SQL features as triggers, subselect, and transaction processing Developers, though, will gradually roll certain desirable features into the product over time The intended use of the product is as a quick, fast implementation of simple applications For more information on MySQL, visit the Web site at wwwmysqlcom Several other database systems are available for Linux Commercial packages include Oracle 8i, IBM DB2, and Informix SE The mSQL package is available as freeware at prices comparable to those for MySQL at wwwhughescomau/ products/msql/ It is free for noncommercial se.

A design pattern describes a good solution to a recurring problem in a particular context The pattern follows a prescribed format that includes the pattern name, a description of the context, the forces (goals and constraints), and the solution The idea is to record the experience of experts in a way that can be used by others facing a similar problem In addition to the solution itself, the name of the pattern is important and can form the basis for a domain specific vocabulary that can significantly enhance communication between designers in the same area Design patterns were first proposed by Christopher Alexander The domain was city planning and architecture [AIS77] Design patterns were originally introduced to the software engineering community by Beck and Cunningham [BC87] and became prominent in the area of object oriented programming with the publication of the book by Gamma, Helm, Johnson, and Vlissides [GHJV95], affectionately known as the GoF (Gang of Four) book This book gives a large collection of design patterns for object oriented programming To give one example, the Visitor pattern describes a way to structure classes so that the code implementing a heterogeneous data structure can be kept separate from the code to traverse it Thus, what happens in a traversal depends on both the type of each node and the class that implements the traversal This allows multiple functionality for data structure traversals, and significant flexibility as new functionality can be dded without having to change the data structure class The patterns in the GoF book have entered the lexicon of object oriented programming references to its patterns are found in the academic literature, trade publications, and system documentation These patterns have by now become part of the expected knowledge of any competent software engineer An educational nonprofit organization called the Hillside Group [Hil] was formed in 1993 to promote the use of patterns and pattern languages and, more generally, to improve human communication about computers "by encouraging people to codify common programming and design practice" To develop new patterns and help pattern writers hone their skills, the Hillside Group sponsors an annual Pattern Languages of Programs (PLoP) workshop and several spinoffs in other parts of the world, such as ChiliPLoP (in the western United States), KoalaPLoP (Australia), EuroPLoP (Europe), and .

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MySQL uses a client/server architecture In very implified terms, a client/server architecture means that the data and all of the software necessary to manage the data (the server) is kept separate from the software that is requesting and using the data (the client) Also, a typical server is able to handle multiple clients The MySQL distribution package includes both server and client components Because the client and server are not required to be on the same physical machine, it is common to have a variety of client systems accessing the same server and sharing the same data There is no limit on where the systems can be located; either client or server could be anywhere in the world This fact does not imply that anyone in the world can access data on a server without consent The MySQL administration section covers how to secure a database, allowing access to the server from specific hosts and assigning specific access levels to different users Finally, the multi-user nature of the client/server system requires concurrency control so that two users are not able to modify the same record at the same time.

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The Five Categories of Iterators To support the full set of generic algorithms, the standard library defines five categories of iterators based on the set of operations they provide: InputIterators, OutputIterators, ForwardIterators, BidirectionalIterators, and RandomAccessIterators The following is a brief discussion of their characteristics 1 An InputIterator can be used to read the elements of a container but is not guaranteed to support writing into a container An InputIterator must provide the following minimum support (iterators that provide additional support can also be used as InputIterators provided that they meet this minimum requirement set): the testing of two iterators for both equality and inequality, the forward incrementing of the iterator to address a next element using the prefix and postfix instances of operator (++), and the reading of an element through use of the dereference operator (*) Generic algorithms requiring this level of support include find(), accumulate(), and equal() Any algorithm requiring the upport of an InputIterator can also be passed any of the iterator categories listed in items 3, 4, and 5 2 An OutputIterator can be thought of as having the opposite functionality of an InputIterator; that is, it can be used to write into the elements of a container but is not guaranteed to support the reading of a container OutputIterators are generally used as a third argument to an algorithm and mark the position where writing should begin copy(), for example, takes an OutputIterator as a third argument Again, any algorithm requiring the support of an OutputIterator can be passed any of the iterator categories listed in items 3, 4, and 5 3 A ForwardIterator can be used to read from and write to a container in one direction of traversal (yes, the next category supports bidirectional traversal) Generic algorithms minimally requiring a ForwardIterator include adjacent _find(), swap_range(), and replace() Of course, any algorithm requiring the support of a ForwardIterator can also be passed the iterator categories defined by items 4 and 5 4 A BidirectionalIterator reads from and writes to a container in both directions Generic algorithms minimally requiring a BidirectionalIterator include in place_merge(), next_permutation(), and reverse() 5 A RandomAccessIterator, in addition to supporting all the functionality of a BidirectionalIterator, provides access to any position within the container in constant time Generic algorithms requiring a RandomAccessIterator include binary_search(), sort_heap(), and nth_element() A map, a set, and a list maintain bidirectional iterators This means, in effect, that they cannot be used with the generic algorithms requiring a RandomAccessIterator, such as sort_heap() and nth_element(); we'll look at alternative operations available to the list container in Section 126 A vector and a deque maintain random access iterators and can therefore be used with all the generic algorithms.

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