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r Minimize Cost/Packet In order to maximize the lifetime of all nodes in the network, metrics other than energy consumed/packet need to be used The paths selected when using these metrics should be such that nodes with depleted energy reserves do not lie on many paths r Minimize Maximum Node Cost This metric ensures that node failure is delayed Unfortunately, there is no way to implement this metric directly in a routing protocol However, minimizing the cost/node does signi cantly reduce the maximum node cost in the network The early energy-aware routing algorithms are based on shortest path algorithms Instead of using delay or hop counts as the link metrics, energy-oriented link metrics such as signal strength [60], battery energy level at each node [61, 62], power level [63 65], and energy consumption per transmission [9, 66] are used in these algorithms.

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Using the special istream_iterator type (discussed in detail in Section 12 43), we can more directly insert the text elements into svec:

#include <vector> #include <string> #include < iterator > int main() { // input stream iterator tied to standard input istream_iterator<string> infile( cin ); // input stream iterator marking end-of-stream istream_iterator<string> eos; // initialize svec with values entered through cin; vector<string> svec( infile, eos ); // process svec }

In addition to a pair of iterators, two pointers into a built-in array can be used as element range markers For example, suppose we have the following array of string objects:

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The implementation proposed in this section is based on the Chinese remainder theorem (Algorithm 7.6); it is assumed that {m } and {(1/m ) mod mi} are i i available from look-up tables. The circuit presented in Figure 14.9 is made up of s multipliers mod M, s multipliers mod mj ( j 1, 2, . . . , s), and 1 multioperand adder mod M. If binary coding is assumed, log2 mi bits will be required for the inputs and outputs of the respective multipliers mod mj, and log2 M bits for the multipliers mod M and the multioperand adder mod M. The cost C(M, s) and computation

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The link condition and power level of nodes are exchanged periodically in order to keep these metrics up-to-date In this way, energy consumption for routes can be minimized However, certain nodes in the network may drain energy out faster than other nodes since these nodes may lie on many paths Therefore, energy consumption must be balanced among nodes to increase network lifetime Chang and Tassiulas [16, 17] formulate the problem of maximizing the lifetime of network as a linear programming problem By solving the optimization problem, the network lifetime can be maximized However, the optimal solutions either are not distributed or induce signi cant computational and communication overhead Chang and Tassiulas [17] also propose a heuristic based on shortest path routing The link cost is proportional to the energy consumed per packet and is inversely proportional to the normalized resident battery energy at sender and receiver.

#include <string> string words[4] = { "stately", "plump", "buck", "mulligan" };

We can initialize a vector of string by passing a pointer to the first element of the words array, and a second pointer 1 past the last string element:

vector< string > vwords( words, words+4 );

The second pointer serves as a stopping condition; the object it addresses (usually 1 past the last object within a container or array) is not included in the elements to be copied or traversed Similarly, we can initialize a list of int elements as follows:

The battery status of nodes should be broadcast periodically in order to keep the link cost up-to-date Simulation results show that the heuristic can approximate the maximum network lifetime if the frequency of information update is large enough Zussman and Segall [18] formulate the energy-ef cient anycast problem that follows the method in references 16 and 17, and they propose an iterative algorithm to obtain the optimal solution The energy-aware routing algorithms discussed above do not directly interact with power control, although power control is always used in the MAC layer to further reduce the energy consumption by decreasing the transmission power An alternative is to incorporate power control directly into routing algorithm [64, 65] This method requires that each source can put the transmit power level PTX at a suitable format eld in the transmitted packet.

int ia[6] = { 0, 1, 2, 3, 4, 5 }; list< int > ilist( ia, ia+6 );

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