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Expected coverage area (ECov) of the possible sleeping cell.
(a) Curves of expected coverage, upper bound of coverage; (b) relationship of the expected coverage and the coverage improvement.
Figure 6 Relationship of the coverage improvement and the expected coverage.
These expected coverage areas can be defined in terms of signal quality (e.g., CQI-based).
Furthermore, we consider that the MS expected coverage radius is fixed.
This means that when the expected coverage near 0.6, we could get the maximum coverage improvement.
From (2) we can observe that the expected coverage can be improved by adding more cameras.
The maximum expected coverage approach is between 15% and 24% more efficient than the non-probabilistic strategies.
In Figure 6(b), we can clearly see that the upper bound of coverage improvement is small when the expected coverage is near 0 or 1, and is maximal when the expected coverage is near 0.6.
In Figure 6(a) we plot the expected coverage and the upper bound of the coverage as the function of, where is set to, cameras are of type.
That is, we want to show that when the expected coverage is near 0.6, there will be maximum space for the improvement.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com