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effect is the shared nature of the wireless channel which causes interference among nearby links; link capacity is shared, among nearby sources in a manner unlike wired links Accordingly, this initial group of protocols generally do not achieve effective routing because they ignore link quality Section 73 brie y overviews hop-countbased protocols and discusses their shortcomings in more detail The emergence of more realistic simulation models [12] and real test-bed experiments [13 17] show that the link quality plays a critical role in determining route quality: Hop count is not a suf cient metric for determining route quality The available bandwidth between a pair of communicating nodes is in uenced not only by the nominal communication bandwidth, but also by ongoing communication in nearby regions of the network because of the shared nature of the medium.

int ia[ 4 ][ 3 ];

digit numbers u and v (stored-carry encoding of the product). Then it remains to generate the carry cy corresponding to the position number 2(p 1) as well as the sticky_digit. The computation of cy can be performed with any one of the methods described in 11. The sticky_digit can be generated directly from the stored-carry representation ( 8 of [ERC2004]). For that purpose, observe that the equality u( (p 2), (p 3), . . . , 2:p) v( (p 2), (p 3), . . . , 2:p) 0 mod B p 1

defines a two-dimensional array The first dimension is referred to as the row dimension; the second, the column dimension ia is a two-dimensional array of four rows of three elements each Multidimensional arrays can also be initialized

int ia[ 4 ][ 3 ] = { { 0, 1, 2 }, { 3, 4, 5 }, { 6, 7, 8 }, { 9, 10, 11 } };

The nested braces, which indicate the intended row, are optional The following initialization is equivalent although considerably less clear

int ia[4][3] = { 0,1,2,3,4,5,6,7,8,9,10,11 };

More speci cally, other ongoing transmissions contribute interference power that can make it impossible to exchange packets between a given pair of nodes, reducing the capacity of the link As a result, a second generation of routing protocols, called link-quality aware routing, was proposed In link-quality-aware routing the link quality is estimated and exposed to the routing protocol, which then can combine the link qualities to estimate route quality; this estimate is used in place of hop count to guide route selection decisions Several metrics for measuring link quality and for combining them to estimate route quality have been proposed; these works are reviewed in Section 74 The routing con gurations achieved by link-quality-aware routing can be suboptimal for two primary reasons: (1) Limitations of link-quality and route-quality estimation approaches Existing metrics relying on source-based measurements cannot capture scheduling effects accurately.

The following definition initializes the first element of each row The remaining elements are initialized to 0

int ia[ 4 ][ 3 ] = { {0}, {3}, {6}, {9} };

int ia[ 4 ][ 3 ] = { 0, 3, 6, 9 };

initializes the first three elements of the first row and the first element of the second row The remaining elements are initialized to 0 Indexing into a multidimensional array requires a bracket pair for each dimension For example, the following pair of nested for loops initializes a two-dimensional array

(2) Per-connection greedy approach: The protocols remain greedy in nature, taking local decisions without coordination An optimal routing con guration cannot be achieved by making greedy decisions on a connection-by-connection basis without coordination to best map the connections to the available space and achieve maximal spatial reuse While some-link-quality-aware routing protocols attempt to adaptively switch away from paths where the quality of the links is low, it is not clear that this approach will converge to a globally effective con guration In Section 75 we motivate modeling and optimization efforts for capturing the behavior of MHWNs and using this model to derive globally effective routing con gurations Finding a globally effective routing con guration is a problem similar to traf c engineering in conventional networks a problem that is well understood and that has effective solutions (eg, reference 18).

int main() { const int rowSize = 4; const int colSize = 3; int ia[ rowSize ][ colSize ]; for ( int i = 0; i < rowSize; ++i ) for ( int j = 0; j < colSize; ++j ) ia[ i ][ j ] = i + j; }

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B1

ia[ 1, 2 ]