In this text, a simple and fast deterministic solution to the area coverage problem in wireless sensor networks has been described. The method is to is determine whether all points in a region are covered by a given set of sensors, where each sensor may have any arbitrary sensing shape. the area coverage problem is translated into the intersection points' coverage problem - simpler and more suitable for evaluating the area coverage problem.
Introduction
The quality of service (surveillance or monitoring) of a sensor network is directly related to the coverage. Generally, the sensing area is con-
sidered as a perfect disk, where each sensor has het-
erogeneous or homogeneous sensing capability.
Previous works include A solution based on geometric analysis for covering a
convex region by using the same radius of disks is pre-
sented by Wang et al, a coverage evaluation
criterion for covering any shape of monitored region
by using any covering radii circle was given by Gal-
lais.
problem and the solution.
a set of sensing areas, A = {a1 , a2 , . . . ,
an }, and a covered region R is considered. Our task is to determine
whether all points in R are covered by A, namely, any
point in R is covered at least one area in A.
A direct method can be to see all sub-regions divided by the coverage
boundaries of all given areas (e.g., a1 , a2 and a3 ), and
then check if R is covered or not by all sub-regions.
This calculation is very difficult and intensive.
Instead, we
try to look at how the intersection of any two bound-
aries of areas in A and/or the boundary of R is covered.
A set of intersection (SI) to
be collection of points inside R, which includes: (1) the
intersecting points or the two end points of intersecting
lines of any two boundaries of areas in A; or (2) the in-
tersecting points or the two end points of intersecting
lines between any boundary of area in A and the bound-
ary of R.
Sometimes it is desirable to have higher degrees of coverage.
The k-coverage problen is well defined and solved in this text:
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