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An example of this is shown in Figure 126, where a single inter-beacon period is given The upper timeline shows channel activity, while the lower timeline shows the NAM times that are carried in the SMAP beacons In this example, we show multiple HCCA periods and we assume that they are repeated every 20 ms The NAMs are advertised by the SMAP so that power saving can occur when the channel is not needed Figure 127 shows another example for a best-effort traf c case The SMAP has de ned a power-saving period as shown which spans half of the inter-beacon period MSs with best-effort traf c are thus prohibited from using this time In reference 6, a movable boundary is de ned which allows the SMAP to dynamically adjust the offered capacity to stations with best-effort traf c (as shown in Figure 127).

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than individual ows to overcome the scalability problem. However, DiffServ mechanism does not provide absolute performance guarantees and therefore cannot be classi ed as a QoS solution.

An algorithm for dynamically updating the NAMs was proposed in reference 6 Both cases depicted in Figures 126 and 127 (connection-oriented and best-effort) can be integrated into the same SMAP superframe..

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r Available Resource Estimation The rst step in QoS support is the knowledge of available resources The estimation of available resources is performed using the network state and the communication protocols employed in the network The network state is comprised of the network connectivity information, maximum capacity of nodes and links, and allocated resources r Calculation of Required Resources Given that the performance requirements of applications are known, resources required to sustain the QoS expectations are calculated in the network Both performance metric conversion and the resource requirement estimation depend on the protocols used in the network The calculation also involves the selection of the resources in the network for the information ow r Resource Allocation Calculated resources are reserved in the network entities The reservation of such resources is performed via auxiliary protocols such as RSVP [10] or as an integral part of the communication protocol r Resource Deallocation.

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124 POWER SAVING FOR SMAPS/SMPS Cost-effective solar provisioning can be done based on average energy usage pro les due to solar panel and battery smoothing effects [9] Using this approach, resource assignment results clearly show the potential for cost savings when SMAPs and SMPs are designed to a target usage which is less than peak power consumption In this section we discuss the power saving that is available in both best-effort (BE) and typical connection-oriented (CO) traf c scenarios In Section 1241 we review a movable boundary mechanism that an SMAP can use to implement power saving for BE traf c using a modi ed version of IEEE 80211 In Section 1242 we discuss the SMAP power saving that is inherent in certain connection- oriented traf c such as VoIP 124.

When a session terminates, resources are returned to the general pool The deallocation can be done either explicitly or implicitly through timeout mechanism 1322 QoS in Ad Hoc Networks The above-outlined steps work well in networks where resources are separated from each other with well-de ned boundaries: In wired networks, link and node resources are clearly separated from each other As an example, two node-disjoint links can be treated as independent resources even though the load on them may depend on each other Similarly, in cellular networks, point-to-point links between mobile stations and base stations are separated from each other in time, frequency, code, space, or a combination thereof Hence, QoS provisioning in both types of networks can easily follow the aforementioned steps.

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1 Power-Saving AP Support for Best-Effort Traf c Power-saving SMAPs require a mechanism for dynamically adjusting the capacity offered to MSs in accordance with current best-effort traf c demands When there is very little traf c to be carried, the SMAP should be free to conserve power, and when loading increases, the level of power saving should decrease accordingly When relaying traf c between two SMPs, the nodes can easily exchange backlog information and arrange for power saving However, on the WLAN coverage radio it is much more dif cult for an SMAP to determine the current state of mobile station backlog In this section, we describe the work presented in reference 6, which includes a simple method for accomplishing this based on measuring channel utilization during besteffort time periods As previously discussed, the SMAP beacons advertise periods of time to the MSs (ie.

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