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35 CHARACTERIZING NWB UNRELIABILITY In this section, the effect of the MAC broadcast unreliability on the performance of NWB algorithms is characterized to demonstrate their lack of robustness NWB coverage is affected primarily by two factors: the redundancy of the NWB operation and the probability of MAC transmission loss A dense network allows some NWB algorithms to use redundant paths providing loss-tolerance without losing coverage This available redundancy is lower in sparse networks, or for algorithms that control redundancy to improve overhead, making NWBs less robust under such conditions 351 Preliminaries and Experimental Setup The primary performance metrics of interest are: (1) node coverage: percentage of nodes that receive the NWB; and (2) overhead: number of retransmissions Raw overhead is dif cult to interpret independently of the network size and the coverage success.

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// chain of assignment operators int iobj, jobj; iobj = jobj = 63;

Assignment operators associate right to left The order of the previous assignments is as follows:

iobj = (jobj = 63);

We would like to preserve this behavior for assignments to objects of our String class, such that the following, for example, is supported:

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Therefore, normalized overhead, de ned as the number of retransmissions per receiving node, was tracked For ooding, normalized overhead is always of interest regardless of the topology or the coverage success: every receiving node retransmits the packet once Optimized NWBs target lowering the overhead while maintaining coverage that should result in a normalized overhead smaller than 1 To simulate losses in the network, two approaches are used First, packets are probabilistically dropped at receiving nodes; a similar approach to modeling losses was used in other works [26] While this approach is somewhat unrepresentative (transmission errors are typically not uniform across all links), it provides a controllable approach to varying the loss rate The second approach involves introducing fading to the network Fading models allow for more realistic transmission behavior, but vary depending on the distance between nodes.

r(i+2)

String verb, noun; verb = noun = "count";

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The first assignment in this chain calls the assignment operator for const char* defined earlier The type of the result of this assignment must be such that it can be used as an argument for the String class copy assignment operator For this reason, even though the parameter of the assignment operator is const char*, its return type is a reference to the String class Assignment operators can be overloaded In our String class, the set of overloaded assignment operators is the following:

// overloaded set of assignment operators String& operator=( const String & ); String& operator=( const char * );

There may be an assignment operator for every type that must be assigned to a String object However, every assignment operator must be defined as a class member function

As a result, the best way to judge the effect of fading is by comparing NWB behavior in networks of different densities Previous work has been done using constant bit rate (CBR) traf c ows in order to increase the level of contention present in the network These ows often interfere with each other, preventing a consistent level of contention in the network As a result, data gathered from these studies are not as controlled the data presented below We evaluated the algorithms described in Section 343 All experiments in this paper use the Network Simulator NS-2 [27] NS-2 is a discrete event simulator with detailed models for the network protocol stack, including the IEEE 80211 MAC protocol NS-2 includes simpli ed models for wireless propagation In all scenarios, nodes are randomly deployed with a uniform distribution in a xed area of 1000 by.

Operator [ ]

A subscript operator, operator[](), can be defined for classes that represent a container abstraction and from which individual elements are retrieved Our String class, the IntArray class presented in 2, or the vector class template defined in the C++ standard library are examples of container classes for which it makes sense to declare a subscript operator A subscript operator must be defined as a class member function Users of our class String need to have both read and write access to the individual characters of the _string class member We want to support the following use for String class objects:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (686 / 1065) [2001-3-29 11:32:11]

String entry( "extravagant" ); String mycopy; for ( int ix = 0; ix < entrysize(); ++ix ) mycopy[ ix ] = entry[ ix ];

authors wish to thank Tracy Camp s group at Colorado Mines for the supplying the code for LBA, SBA, and AHBP. We also wish to thank W. Lou for the NS-2 implementation of DCB.

The subscript operator must be able to appear both on the right- and the left-hand side of an assignment operator To appear on the lefthand side, its return value must be an lvalue This is achieved by specifying the return type as a reference:

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#include <cassert> inline char& String::operator[]( int elem ) const { assert( elem >= 0 && elem < _size ); return _string[ elem ]; }

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