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All consecutive groups of elements containing either the same value (using the equality operator of the underlying type) or evaluating as true when passed to pred are collapsed into a single element Thus, for example, in the word mississippi, the semantic result is "misisipi" Notice that since the three i's are not consecutive, they are not collapsed Similarly, the two pairs of s's, since they are not consecutive, are not collapsed into a single instance To guarantee all duplicated elements are collapsed, we would first sort the container Actually, unique() behaves slightly nonintuitively, similar to the remove() algorithm In both cases the container's actual size is not changed Each unique element is assigned in turn to the next free slot beginning with first In our example, therefore, the physical result is misisipippi, where the character sequence ppi represents, so to speak, the leftover piece of the algorithm The returned ForwardIterator marks the beginning of the leftover Typically this iterator is then passed to erase() to delete the invalid elements (Since the built-in array does not support the erase() operation, unique() is less suitable for arrays; unique_copy() is more appropriate)

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unique_copy() template< class InputIterator, class OutputIterator > OutputIterator unique_copy( InputIterator first, InputIterator last, OutputIterator result ); template< class InputIterator, class OutputIterator, class BinaryPredicate > OutputIterator unique_copy( InputIterator first, InputIterator last, OutputIterator result, BinaryPredicate pred );

unique_copy() copies a single instance of each consecutive group of elements containing either the same value (using the equality operator of the underlying type) or evaluating as true when passed to pred (see unique() for a description) To guarantee all duplicated elements are eliminated, we would first sort the container The returned OutputIterator addresses the end of the target container

#include <algorithm> #include <vector> #include <string> #include <iterator> #include <iostreamh> template <class Type> void print_elements( Type elem ) { cout elem " "; } void (*pfi)( int ) = print_elements; void (*pfs)( string ) = print_elements;

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11-based MANETs, the inability of the MAC mechanism to properly coordinate transmissions leads to spurious packet losses; in such a setting, reducing the number of segments in the pipe at any one time can help smooth out this link-layer inef ciency [13] Clearly, minimizing the number of ACKs produced is one way of achieving such a reduction These ACK-reducing or ACK-thinning proposals are the focal point of interest in this survey Although, such proposals may differ in the means of achieving their goal, their common aim is to reduce the overhead of ACKs (control data) produced by a TCP conversation, without compromising reliability As de ned in the relevant RFC [10], the semantics of TCP are largely end-to-end in nature Hence, the protocol maintains and utilizes information pertinent to the end points and is mostly oblivious of the point-to-point effort necessary to deliver a bytestream between two hosts.

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int main() { int ia[] = { 0, 1, 0, 2, 0, 3, 0, 4, 0, 5 }; vector<int,allocator> vec( ia, ia+10 ); vector<int,allocator>::iterator vec_iter; // results in unchanged sequence: 0s are not consecutive // generates: 0 1 0 2 0 3 0 4 0 5 vec_iter = unique( vecbegin(), vecend() ); for_each( vecbegin(), vecend(), pfi ); cout "\n\n"; // sort vector: 0 0 0 0 0 1 2 3 4 5 // then apply unique: // generates: 0 1 2 3 4 5 2 3 4 5 sort( vecbegin(), vecend() ); vec_iter = unique( vecbegin(), vecend() ); for_each( vecbegin(), vecend(), pfi ); cout "\n\n"; // erase the invalid elements from container // generates: 0 1 2 3 4 5 vecerase( vec_iter, vecend() ); for_each( vecbegin(), vecend(), pfi ); cout "\n\n"; string sa[] = { "enough", "is", "enough", "enough", "is", "good" }; vector<string,allocator> svec( sa, sa+6 ); vector<string,allocator> vec_result( svecsize() ); vector<string,allocator>::iterator svec_iter; sort( svecbegin(), svecend() ); svec_iter = unique_copy( svecbegin(), svecend(), vec_resultbegin() ); // generates: enough good is for_each( vec_resultbegin(), svec_iter, pfs ); cout "\n\n"; } upper_bound() template< class ForwardIterator, class Type > ForwardIterator upper_bound( ForwardIterator first, ForwardIterator last, const Type &value ); template< class ForwardIterator, class Type, class Compare > ForwardIterator upper_bound( ForwardIterator first, ForwardIterator last, const Type &value, Compare comp );

upper_bound() returns an iterator addressing the last position within the sorted sequence marked off by the iterator pair [first,last) into which value may be inserted without violating the sorted ordering of the container This position will mark off a value that is greater than value For example, given the following sequence,

int ia[] = {12,15,17,19,20,22,23,26,29,35,40,51};

Ideally, any modi cations to the protocol which would achieve ACK reduction would maintain this paradigm Nonetheless, there is scope for point-to-point modi cations if the bene ts are signi cant enough This survey acknowledges the tradeoff and distinguishes proposals in end-to-end and hybrid A further distinction made when discussing ACK-thinning schemes is between single and cross-layer approaches, with the former being ,in general, easier to deploy and the latter possibly exhibiting more signi cant performance merits Overall, this chapter provides a comprehensive survey of the main ACK-thinning techniques that have been proposed for MANET environments in recent times [5 7,14] In the following sections we outline a useful classi cation of these techniques and compare their relative merits with respect to ease of implementation, backward compatibility, and performance achievement Speci cally, the rest of the survey is organized as follows Section 10.

a call of upper_bound() with a value of 21 returns an iterator addressing the value 22 A call of upper_bound() with a value

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