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However, if the number of possible link rate is small, it is desirable to use power control and scheduling to increase the network throughput Cruz and Santhanam [14] propose a joint routing, scheduling, and power control design to support high data rates for broadband wireless multihop networks They divide it into two subproblems: (a) joint power control and scheduling subproblem and (b) routing subproblem The aim of the problem of joint scheduling and power control is to minimize the total average transmit power in the wireless multihop networks, subject to given constraints regarding the minimum average data rate per link, as well as the peak transmit power constraints per node The problem is solved in the duality approach, and thus a byproduct is the link sensitivities that tell the change in the minimal total average power with respect to a perturbation of the required data rate on a link.

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file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (234 / 1065) [2001-3-29 11:32:05]

( 0 xn 1 xn 2 xn 3)

#include<iostream> #include "ilisth" int main() { ilist mylist; for ( int ix = 0; ix< 10; ++ix ) { mylistinsert_front( ix ); mylistinsert_end( ix ); } cout "\n" "Use of init_iter() and next_iter() " "to iterate across each list item:\n"; ilist_item *iter; for ( iter = mylistinit_iter(); iter; iter = mylistnext_iter() ) cout iter->value() " "; cout "\n" "Use of copy constructor\n"; ilist mylist2( mylist ); mylistremove_all(); for ( iter = mylist2init_iter(); iter; iter = mylist2next_iter() ) cout iter->value() " "; cout "\n" "Use of copy assignment operator\n"; mylist = mylist2; for ( iter = mylistinit_iter(); iter; iter = mylistnext_iter() ) cout iter->value() " "; cout "\n"; }

When compiled and executed, this program generates the following output:

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of init_iter() and next_iter() to 7 6 5 4 3 2 1 0 0 1 2 3 4 5 6 7 8 of copy constructor 7 6 5 4 3 2 1 0 0 1 2 3 4 5 6 7 8 of copy assignment operator 7 6 5 4 3 2 1 0 0 1 2 3 4 5 6 7 8

The routing policy is shortest path routing with link sensitivities as the link metrics Since the minimal total average power is a convex function of the required minimum average data rates, shortest path routing can lead to the search for globally optimal routes They nd the optimal power control policy is such that each node is either transmitting at peak power to a single receiver or not transmitting at.

iterate across each list item: 9 9 9

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Providing a Generic List Class Our ilist class is severely constrained in that it currently can hold elements only of type int A more generally useful list type should provide support both for built-in and for class types How might we transform our ilist class to support a wider variety of element types without either extensive reprogramming or code duplication The class template mechanism provides a solution (it is discussed in detail in 16) Through parameterization, the class template factors out type-dependent aspects of our class design in our case, the underlying type of the element our list contains Later, the user, wishing a particular kind of list, provides the actual type for the template parameter For example:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (235 / 1065) [2001-3-29 11:32:05]

list< string > slist;

to the TOA technique The accuracy of this technique is generally not good due to transmission phenomena such as multipath fading and shadowing that cause important variation in signal strength Radio-location requires line-of-sight propagation between the nodes involved in a signal measurement Line of sight means that a nonobstructed imaginary straight line can be drawn between the nodes In other words, the accuracy is sensitive to radio propagation phenomena such as obstruction, re ection, and scattering With all the distance-based techniques (ie, TOA, TDOA, signal strength), three position-aware neighbors are required to determine the location of a position-unaware node 243 Logical Distance Estimation The Distance Vector-hop (DV-hop) algorithm uses triangulation to resolve the positions of nonlocalized nodes In contrast to triangulation as used in the GPS system, an estimate of the distance is not computed using signal feature-based techniques.

list< int > ilist;

creates an instance the equivalent of our original hand-coded ilist class Using a class template definition, we can support an unlimited number of list element types with one class template implementation Let's step through how we might do that, focusing on our list_item class The definition of a class template begins with the keyword template followed by a list of parameters marked by angle brackets A type parameter consists of either typename or class, followed by an identifier For example:

BCDx2 0 2.bcd(n 4) m digit BCD adder BCDx2 0 0 0 xn j 1 2.bcd(n j) m digit BCD adder BCDx2 0 2.bcd(1) m digit BCD adder 0 0 x0 0 0 x n 5 acc

template<class elemType> class list_item;

This declares list_item to be a class template with a single type parameter elemType is an arbitrary identifier with which we chose to name our type parameter The following is an equivalent declaration of our list_item class: