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Next we consider the power consumption of the coverage radio. As a worse case we assume that the coverage radio is fully awake during the 1 time interval when it is servicing best effort traf c. During the remaining interval the coverage radio services CO traf c. The deterministic nature of VoIP traf c allows the coverage radio to sleep during idle intervals using HCCA NAMs such as those shown in Figure 12.6. The power consumption of these activities on the coverage radio s timeline is captured using Pc = PBE + PCO PBE = (1 ) PMax PCO = UCO PMax + ( UCO ) PSleep (12.7) (12.8) (12.9)

There are many steps between Schema-Schema and a working system. Figure 11-4 can guide the instantiation of knowledge structure schemas, which can then be instantiated into values and parameters, which in turn instantiate into Site-Schema, Identity-Schema, PiParm, and all the rest in Figure 11-5. Similarly, the CRA <Self/> isn t a system, it is a template for bootstrapping knowledge action templates, KOs, and domain heuristics, yielding diverse classes of system built up through experience. To enable such AACR evolution, CRA <Self/> includes only core ontological knowledge in the <RF/> and <User/> domains, indicating paths to skill via bootstrapping like Tieresias. There are many pitfalls, so the balance of the chapter suggests ideas to mitigate brittleness and to overcome other challenges of AACR evolution. The CR1 research prototype learned via serModels and CBR (with the patience of the researcher) a few things in <User/> and <Radio/> domains autonomously and thus in an interesting way. The CRA <Self/> takes a step very similar to Schema-Schema, functioning as a blank sheet of paper onto which engineers can write by supplying improved interpretation algorithms and then using and training the resulting AACRs. Algorithms for evolving competent AACRs from the CRA <Self/> are not complete, but algorithm strategies suggest research and engineering directions. 11.2.2.1 XML Tag as Metaschema Strategy Tieresias may apply to AACR evolution by informing the interpretation of RXML statements as Schema-Schema, which is not the typical method of interpreting XML. XML may be processed as strongly typed (e.g., using

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oddy wore his oldest suit the next day This was to show off in front of George Sisler The fact was that the only thing that could impress George Sisler would be a ton of interest rate data And we had it Winnipeg George and Roddy had hardly slept on Saturday or Sunday and had produced an astounding amount of information On that Monday morning I had done some of my own research, finding the time by taking a half day off work I hadn t seen Roddy or Winnipeg George that morning, so they didn t know what I was going to say But it would dramatically increase the profits in the system that we were following At lunchtime we met in the dark lobby of Sisler & Company, and we were buzzed onto George Sisler s trading floor right on time.

where PMax represents the average of the maximum transmit and receive power, and PSleep represents the power dissipated when the radio is in sleep mode. The relay radios can use any proprietary power saving protocol since they do not have to interact directly with legacy MPs, and all relay traf c is regarded as connectionoriented. Therefore we can describe the relay radio s power consumption as PR = Ur PMax + (1 Ur ) PSleep (12.10)

Schema-Schema PrintName (Atom CreateIt) Structure (PrintName InSlot) Father Schema-Schema Instances (All-Schemata-List) StringTranslation knowledge structure InstanceOf Schema-Schema Description The schema-schema describes the formal for all other schemata FIGURE 11-6 Schema-Schema without property list.

In Table 12.6 we summarize the values of the parameters assumed in our simulations. We assume that the best effort and the VoIP signaling traf c are negligible. For the coverage radio there are two extreme cases to consider. First is the case when the relay radio does not carry any traf c, Ur = 0 and PH = max{Uc PH max , PH min }. The power consumed by the relay radio will be PSleep which is equal to 2 mW. The coverage radio consumption will depend on UCO which varies from 0 to . Since we neglect any signaling or best effort traf c by assuming UBE = 0, then Pc = (UCO ) PMax + (1 UCO ) PSleep . Therefore, Pc varies between 0.752 W (UCO = ) and 0.002 W (UCO = 0). PH varies between 1 and 0.02 W respectively. Thus the total power consumed by the node varies between 0.024W and 1.752W. In the second case, the relay radio is fully utilized, Pr = 0.75 W, PH = 1 W and Pc varies between 0.002W and 0.75W, therefore, the total power will vary between 1.752W and 2.5W. Figure 12.12 shows PTotal vs UCO for several different relay radio consumption scenarios varying from Ur = 0 to 100%. It can be seen that as the utilization of both

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