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Miraz Al-Mamun, Gour C. Karmakar, and Joarder Kamruzzaman Gippsland School Information Technology, Monash University, VIC 3842, Australia E-mail: {miraz.mamun,

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Presentation on theme: "Miraz Al-Mamun, Gour C. Karmakar, and Joarder Kamruzzaman Gippsland School Information Technology, Monash University, VIC 3842, Australia E-mail: {miraz.mamun,"— Presentation transcript:

1 Miraz Al-Mamun, Gour C. Karmakar, and Joarder Kamruzzaman Gippsland School Information Technology, Monash University, VIC 3842, Australia {miraz.mamun, gour.karmakar,

2 . Multitudes of wireless nodes need to access the same access points.. Collision increases as a result.. So, contending nodes need to choose access probability following non-uniform probability distribution.. Contenders also need to estimate contender population for optimal access probability

3 .Each application requires a corresponding packet transmission success probability.. Based on this, access probability at each Time Slot(TS) in the Contention Window(CW) is calculated.. Each node accesses the medium with this probability.

4 . As CW dictates latency, it needs to be optimized as well. Optimization technique has been used to satisfy success probability and latency simultaneously.

5 Requires: N= initially estimated contender number K= CW size α= Common ratio of geometric function Define: variable i, array N i For (i=1; i

6 Some performance figures: Response Time Comparison for Different Numbers of Reports Required (R).

7 Some performance figures: Throughput Comparison for N=32.

8


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