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Thus, Idle sense does not employ the runtime adaptive estimation reflecting the number of active nodes.
The second scheme is a distributed scheme based on the idle sense idea in [26].
In the original idle sense scheme, all nodes have the same priority.
We compare the performance of FC-MAC with the conventional DCF, Optimal CW, and Idle sense.
The Idle sense uses ε = 0.001 and 1/α = 1.2 for the control parameters and selects 5.68 for the ntarget.
Figure 11c,f plot the aggregate throughputs of DCF, Idle sense, Optimal CW, and FC-MAC for different BER values.
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We call the second scheme the idle-sense-based scheme, which is presented below.
We next propose an idle-sense-based scheme to maximize the stable throughput that HP traffic can achieve, when they coexist with low-priority (LP) traffic.
Furthermore, we next propose an idle-sense-based scheme [26] to maximize the stable throughput that HP traffic can achieve, when they coexist with LP traffic.
At the same time, we also observe that the total delay for each voice codec is less than 25 ms. This manifests that (i) the idle-sense-based scheme can maximize the stable HP throughput while maintaining a low total delay and (ii) Γ k opt) is a tight upper bound on the stable throughput for the idle-sense-based scheme.
Experiment 4 to verify the effectiveness of the proposed idle-sense-based scheme: The fourth experiment considers CBR voice traffic and determines the maximum number of admitted HP nodes, n max, that ensures throughput stability, when the idle-sense-based scheme is used, and for the static cases of W=300 and 20.
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