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We proposed an optimal sleep/wake scheduling algorithm, which satisfies a given message capture probability threshold with minimum energy consumption.
We showed that there is an inherent trade-off between energy consumption and message delivery performance (defined as the message capture probability).
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Figure 6 Hole capture probability.
The former raises the translocation probability, and the latter decreases the capture probability.
Various previous studies on the PHY capture effect[9, 16 19] mainly focused on increasing the PHY capture probability.
The capture probability (Pcap) is the probability of a successful packet transmission given that a packet has been transmitted.
The approach assumes a closed population and a recapture probability equaling the capture probability but also accounts for capture heterogeneity as it divides individuals into those with high or low capture probabilities [27].
No support was found for the time-varying capture probability model (Mt).
Three additional models which relax the assumption of equal probability of capture were also considered: (1) variability in individual capture probability using the Chao and Jackknife Mh estimators [20], [21], (2) time-varying capture probability using the Chao and Darroch Mt estimators [17], [22], [23], and (3) behavioral response to capture using the Zippin Mb estimator [24].
We tried to overcome these uncertainties by applying a capture-recapture analysis, which incorporates the capture probabilities.
The analysis determined average capture probabilities to be 0.06 and the estimated probability that a clouded leopard was captured at least once was 0.80 (Table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com