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| | OhioLINK ETD: Ge, Ye |
 | | By extending the analytical model, we study the impact of AIFS values in IEEE 802.11e on rate differentiation between different traffic classes, demonstrate that the per flow throughput ratio between different traffic classes is a function of both the persistent probability (or the contention window size) and AIFS values. |
 | | We associate the contention window based backoff scheme in the current 802.11 mac protocol to the proposed p-persistent MAC protocol through a simple relation between the contention window, $cw$, and the persistent probability, p. |
 | | Through analytical modeling and simulation, we demonstrate that by assigning appropriate different transmission probabilities to wireless nodes of different classes, it is feasible to provide service differentiation and achieve the targeted throughput ratio among different classes, while at the same time, maximizing the total channel utilization. |
| rave.ohiolink.edu /etdc/view?acc_num=osu1095441321 (349 words) |
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