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the range is said to be empty A requirement of the iterator pair is that it must be possible to reach last beginning with first through repeated application of the increment operator However, the compiler cannot itself enforce this; failure to meet this requirement results in undefined run-time behavior usually an eventual core dump of the program Each algorithm's declaration indicates the minimum category of iterator support it requires (see Section 124 for a brief discussion of the five iterator categories) find(), for example which implements a one-pass, read-only traversal over a container minimally requires an InputIterator It can also be passed a Forward-, Bidirectional-, or RandomAccessIterator Passing it an OutputIterator results in an error Errors in passing an invalid category of iterator to an algorithm are not guaranteed to be caught at compile-time, because the iterator categories are not actual types Rather, they are type parameters passed to the function template Some algorithms support multiple versions; one uses a built-in operator, and a second accepts either a function object or a pointer to function providing an alternative implementation of that operator unique(), for example, by default compares two adjacent elements using the equality operator of the underlying element type of the container If, however, the underlying element type does not provide an equality operator or if we wish to define element equality differently, we can pass either a function object or pointer to a function that provides the intended semantics Other algorithms, however, are separated into two uniquely named instances, the

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file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (547 / 1065) [2001-3-29 11:32:09]

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predicate instance in each case ending with the suffix _if, as in find_if() For example, there is a replace() instance using the built-in equality operator and a replace_if() instance taking a predicate function object or a pointer to function For those algorithms that modify the container over which they operate, there are generally two versions: an in-place version that changes the container against which it is applied and a version that returns a copy of the container with the changes applied There are, for example, both a replace() and a replace_copy() algorithm The copy version always contains _copy in its name Not every algorithm that transforms its associated container, however, is provided with a copy version The sort() algorithms, for example, do not provide a copy instance In this case, if we wish the algorithm to operate on a copy, we need to make and pass the copy ourselves To use any of the generic algorithms, we must include the associated header file:

To use any of the four numeric algorithms adjacent_difference(), accumulate(), inner_product(), and partial_sum() - we must include

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signaled a resurgent interest in routing through the challenges posed by the mobility of the nodes, their limited energy resources, their heterogeneity (which under some conditions can lead to asymmetric connections), and many other issues. These challenges were answered with a large number of routing algorithms, and ad hoc routing remains an active and dynamically evolving research area. Ad hoc routing algorithms are serving as a source of ideas and techniques to related technologies such as wireless sensor networks and mesh networks. In this chapter we survey the eld of wireless ad hoc routing. While we attempted to include most of the in uential algorithms, our survey cannot be exhaustive: The number of proposed algorithms and variations exceeds 1000. However, we strived to represent most of the research directions in ad hoc routing, thus giving the reader an introduction to the issues, the challenges, and the opportunities offered by the eld.

The algorithms are listed under the following nine categories (the categories are for convenience in presenting the algorithms and have no formal connection with the standard library) The Appendix provides an alphabetical discussion and illustration of each algorithm in turn Search Algorithms The 13 search algorithms provide various strategies for determining whether a value is present within a container The three algorithms equal_range(), lower_bound(), and upper_bound() provide a form of binary search They indicate where in the container a value can be inserted and still preserve the sorted ordering of the container

entity rest_baseB_step is port ( a: in digit_vector(N-1 downto 0); b: in digit_vector(N-1 downto 0);

adjacent_find(), binary_search(), count(), count_if(), equal_range(), find(), find_end(), find_first_of(), find_if(), lower_bound(), upper_bound(), search(), search_n()

Sorting and General Ordering Algorithms The 14 sorting and general ordering algorithms provide various strategies for ordering the elements of a container A partition divides the container into two groups The first group consists of those elements that satisfy some condition; the second, those that do not For example, we can partition a container based on whether the elements are odd or even or whether a word begins with a capital letter A stable algorithm maintains the relative order of elements that either are of equal value or that equally meet some condition For example, given the sequence

{ "pshew", "honey", "Tigger", "Pooh" }

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (548 / 1065) [2001-3-29 11:32:09]

152 VANETS VERSUS MANETS A VANET is a special type of mobile ad hoc network (MANET) [12, 26] In this section we present some characteristics that differentiate a class of VANETs from the more general MANETs r Embedded System All VANETs are basically embedded systems The communication software is implemented into a vehicle, which may already have support for either tele- or data communication Therefore, it will be necessary to incorporate the VANET protocols into the existing communication technologies that a car will have access to This may be facilitated with a gateway architecture, which allows for several access network technologies [28] r In nite Energy Supply One problem in many MANETs and, in particular, wireless sensor networks is that the node s energy is supplied by batteries with a nite capacity This is, however, not a problem in VANETs.

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