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a message to the destination due to a network partition, it will try to do an up-call for the scheme presented Algorithms that minimize the trajectory modi cations are developed under two different assumptions: (a) The movements of all the nodes in the system are known and (b) the movements of the hosts in the system are not known In the rst case, the problem is, given a mobile ad hoc network (which may be disconnected) and the motion descriptions of the hosts (which is assumed to be known for all the movement of hosts), nding the shortest time strategy to send a message from one host to another An optimal relay path algorithm is proposed and presented in Algorithm 1, which computes a sequence of intermediate hosts that can relay the message to the destination Intermediate nodes modify their trajectories in the smallest possible way.

// no way to guarantee the memory is not lost to the program // Because matrix can be large, this loss can be significant Matrix& operator+( const Matrix& m1, const Matrix& m2 ) { Matrix *result = new Matrix; // do the addition return *result; }

it also results in significant memory leakage: no portion of the program is responsible for applying the delete expression to the object after its last use In practice, this is not acceptable A programmer's solution is to redefine the addition operator as a named function taking a third reference parameter within which to store the result:

// this provides the efficiency we require // but is less intuitive for users void mat_add( Matrix &result, const Matrix& m1, const Matrix& m2 ) { // directly compute into result }

This solves the performance problem, but the class can no longer be used with operator syntax and the general ability either to initialize objects

// no longer supported Matrix c = a + b;

In the second case, they propose a method in which hosts inform the other hosts of their current positions The key issues that need to be considered to make this approach work are (1) when a host should send out information about its location update; (2) to whom the host should send out this information; and (3) how the host should send out this information They model the communication problem in unknown mobile network environments by constructing a minimum spanning tree (MST), which contains the shortest edges in the graph that provide full connectivity in the graph Each host has the responsibility of updating its location by informing all the hosts connected to it in the MST However, their work assumes that the network is almost fully connected; it is not quite clear what happens if no such MST is found.

or to have them participate as subexpressions:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (667 / 1065) [2001-3-29 11:32:11]

entity exp_data_path is port ( y: in std_logic_vector(n-1 downto 0); sel: in std_logic_vector(1 downto 0); clk, enable_e, enable_y: in std_logic; z: out std_logic_vector(n-1 downto 0) ); end exp_data_path;

// also no longer supported if ( a + b > c )

The inability of the language to return a class object efficiently was considered a significant weakness of the language One proposed solution was a language extension to name the function's returning class object For example:

In wireless networks, there usually are mismatches between available capacity and demand When such a mismatch occurs in such networks, one way to add capacity is to increase the number of participants carrying bundles in the network To achieve this, the work in reference 33 suggests the addition of a limited number of autonomous agents to the network area and studies the problem of augmenting the capacity of a DTN through autonomous agents which move in the network with the purpose of increasing network performance The addition of these agents.

Matrix operator+( const Matrix& m1, const Matrix& m2 ) name result { Matrix result; // return result; }

The compiler would then rewrite the function internally to take a third reference parameter:

// internally rewritten function // under proposed language extension void operator+( Matrix &result, const Matrix& m1, const Matrix& m2 ) { // directly compute into result }

and transform all uses of the function to compute the result directly in the target class object For example,