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The objective function is insensitive to the number of nodes in the path, thereby resulting in an inef cient route with path in ation In Eq (77) it can be observed that the objective reduces the hot-spot at the node, while it fails to control the number of active nodes Path in ation can be controlled by a weighted average objective function that minimizes the commitment period and enforces a weight for the sum of the traf c carried all the nodes The formulation of the objective function for accounting for optimization of multiple routes is a challenging problem and may yield a nonlinear programming formulation Kolar and Abu-Ghazaleh [52] studied the various aspects of optimizing such multiple objectives into a single linear objective function, while at the same time measuring the effectiveness of the objective function under different topologies.

It concludes that an objective function that minimizes the maximum hot-spot across all connections works best; it provides a single metric for overall network throughput while not suffering from connection coupling or the conjoint node effect It is likely that specializing objective functions for other metrics (such as QoS or fairness) would require equally careful consideration..

TABLE 7-8

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What is your first concern, above everything else Harvey asked. We were back inside the diner and I was eating a Mexican omelet. It tasted just as good as it was supposed to. If Harvey hadn t stopped me on the street, I am sure that a lot of bad things would have happened it s not inconceivable that my marriage would have ended over this. It didn t (more on that later). It s probable that I would still be working for someone else today. Which I am not doing. It s possible that I would have done something drastic. I didn t. Instead, we were inside the Utopia Restaurant and I was experiencing a frontal pipotomy, a not-so-delicate surgery to remove all of my ridiculous assumptions about how to become a successful trader. Already this discussion had freed me from some of the weight of what I had done to my trading account: I realized that other traders, even superprofitable ones, had experienced similar lapses of trading sanity. Even George Sisler recovered well enough to eventually run a multibilliondollar hedge fund.

Figure 7.5. Comparison of the end-to-end delay in a globally aware routing. (This gure is taken from the results obtained in Kolar and Abu-Ghazaleh [54].)

Typical Applications Layer Parameters Characteristics and Parameters Number of channels; underlying mode and bit rate; protocol pro le (e.g., WAP over GSM and GPRS) Location accuracy, update rate, number of mobiles Source code, bit rate, frame rate Page-buffer space, number of channels proprietary protocols, beyond Group IV Protocol (e.g., V.xx, X.25, TCP/IP, MPLS [193], ATM), queue space Directory server, domain name server, gateways, proxies, security features, host application (e.g., Eurdora, Outlook, Netscape) Protocol (e.g., FTP), delay tolerance, maximum le size Size, query language (e.g., SQL), update rate and latency Number of users, speech storage capacity, simultaneity Mix of media (e.g., voice and shared whiteboard), delay tolerance, BER/FEC by class of service (e.g., line drawings versus voice) Source coding, pro le (e.g., capability within H.320)

In the following, we show sample results from the model developed by Kolar and Abu-Ghazaleh, to illustrate the performance difference between globally coordinated routing, and traditional greedy routing approaches. The results of the routes using the model were simulated in a Qualnet [32] simulator using an IEEE 802.11b MAC protocol. Figure 7.5 shows 6 6 and 8 8 grid topology results. The end-to-end delay of the routes from formulation were compared with the routes obtained by the most stable routes from DSR. The routing effects were eliminated by loading such routes as static routes. The y-axis shows the ratio of the end-to-end delay using the formulation routes to the ones used by the DSR, and the x-axis depicts the number of connections. A phenomenal improvement in the delay can be found while using the globally aware routing. Similar results were found for random scenarios also. However, the throughput improvement at higher contention was marginal, the reason being the greater packet drops while using the formulation routes. At higher contention, the substantial effect of packet drops on throughput is not captured by the above formulation. This signi es the importance of modeling the scheduling interactions. 7.6.3 MAC Modeling Accounting for the Effect of Scheduling The formulations discussed thus far ignore the effect of the scheduler; they assume that aggregate interference metrics such as busy time are the sole factor in uencing link capacity (as would be the case, for example, under an ideal scheduler). Such formulations measure the available capacity of the links (Property 1 discussed in Section 7.4.3), but do not account for the effect of imperfect CSMA-based schedulers

some exist in the protocol stacks or SDR personalities, and others are available from CWNs, peer iCM, or third parties. The iCM may parameterize a mapping template to create the map autonomously. 7.10.5 Applications Layer Knowledge

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