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#include<cassert> // assert( ptr != 0 );

A third alternative is to throw an exception For example:

y (i+1) 0

In order to route a packet to destination d, a node looks up the routing table for d in increasing order of the corresponding transmit power level So the network layer makes sure that a packet is transmitted with the lowest possible.

if ( ! ptr ) throw "Panic: ilist::insert(): ptr == 0";

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In general, aborting a program is best avoided whenever possible Aborting the program in effect leaves the user dead in the water while we or a support organization isolates and resolves the problem If we are unable to continue processing at the site of the error, throwing an exception is generally preferable to aborting the program An exception transfers control to an earlier portion of the program, one possibly able to resolve the problem Our implementation recognizes and treats an empty pointer as a request for inserting the value at the front of the list:

if ( ! ptr ) insert_front( value );

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (222 / 1065) [2001-3-29 11:32:05]

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power at each hop. Clustering in CLUSTERPOW is implicit because it is based on the transmit power levels rather than on addresses or geographical locations. r LOADPOW: The LOADPOW scheme is similar to the COMPOW and CLUSTERPOW schemes, and it tries to adapt the transmit power according to the network load. It opportunistically uses a higher transmit power level whenever the network load is low, and vice versa. The LOADPOW algorithm attempts to avoid interference with ongoing communications in the neighborhood. It keeps track of the busy (sending or receiving) nodes in the neighborhood. When deciding to transmit a packet, it looks up the routing table and determines the safe power level that can be used without corrupt any ongoing transmission. In this way, LOADPOW can achieve the design goal as the contention of wireless medium that indicates the traf c load in the network. However, LOADPOW may create temporary routing loops, and it is hard to determine the safe power level.

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The second flaw in our implementation is more philosophical than dire Our _size and size() implementation pair is a tentative design: although we believe that the storage and inline retrieval of the size of the list best meets our users' need, we may in practice need to replace it with a strategy in which the size is calculated on demand Under a calculate-on-demand implementation, the _size member is eliminated By writing

++_size;

we are tightly coupling the implementation of insert() with the current list class implementation If our list class implementation changes, insert() is no longer correct and must also be changed, as must insert_front(), insert_end(), and the instances of remove Rather than spread reliance of the implementation details of our list class across the multiple insert and remove operations, we have chosen to encapsulate the dependence within a pair of functions:

inline void ilist::bump_up_size() { ++_size; } inline void ilist::bump_down_size() { --_size; }

11.3.3 Power Control: The Transport Layer Problem As mentioned in Section 11.2.2, transmission power control can affect congestion control in the transport layer. Thus, in order to achieve in a power-ef cient manner high end-to-end throughput in wireless ad hoc networks with multihop communications, both congestion control and power control need to be optimally designed and distributedly implemented. It has been shown in Kelly et al. [49] that congestion control mechanisms can be viewed as distributed algorithms solving the following network utility maximization problem [50]: maximize

Because we have declared the pair inline, the efficiency of our implementation is not affected by our design Here is our revised implementation:

X(i+1) (3..0)

inline void ilist:: insert( ilist_item *ptr, int value ) { if ( !ptr ) insert_front( value ); else { bump_up_size(); new ilist_item( value, ptr ); } }

Implementing insert_front() and insert_end() is reasonably straightforward Each must handle the special case of an empty list Here are their implementations:

inline void ilist:: insert_front( int value ) { ilist_item *ptr = new ilist_item( value ); if ( !_at_front ) _at_front = _at_end = ptr; else { ptr->next( _at_front ); _at_front = ptr; } bump_up_size();

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (223 / 1065) [2001-3-29 11:32:05]

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} inline void ilist:: insert_end( int value ) { if ( !_at_end ) _at_end = _at_front = new ilist_item( value ); else _at_end = new ilist_item( value, _at_end ); bump_up_size(); }

find() searches the list for a value If it is present, find() returns a pointer to the value; otherwise, it returns 0 Here is its implementation:

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