Information Technology Reference
In-Depth Information
Vector-based approaches
Voroni-based approaches
Quorum-based approaches
Grid structure approaches
Representative models for each of the enumerated groups are further described.
6.3.1.1
Vector-Based Approaches
Vector-based approaches are extensively used for sensor self-deployment and
coverage improvement. The literature presents many variations of the basic tech-
nique introduced in [ 18 ], where the sensor nodes are treated as virtual particles
subject to virtual forces. This approach is originally proposed for mobile autono-
mous robots and is based on potential fields, which are assumed to exist in the
sensor field.
Similar technique is used in [ 19 ], where a feature for providing constrained
coverage in the sensor field (at least k -coverage) is added. The so-called Potential
Field Algorithm (PFA) works by abstracting the sensor node to be a particle in the
potential field, which will be influenced by the forces on the nearby nodes. The
force which acts on the sensors is a gradient of the scalar potential field U , and is
presented with FU
=−∇ . The forces between the nodes are obtainable by attractive
and repulsive patterns -
att F and
re F , and the resultant force between any two
nodes i and j is given by:
ij FFF
= + , where
,
attr
rep
ij
,
ij
,
xx
K
i
j
F
=
attr
(6.1)
 
attr
2
x
x
ij
,
ij
ij
Kxx
rep
2
i
j
F
=
x
x
,
if critical connec
tion
(6.2)
rep
ij
ij
ij
,
0
and x i is the position of the i -th node,
is the Euclidean distance between
nodes i and j and K attr and K rep are the force constraints. The attractive and repul-
sive forces follow inverse square law depending on the distance between the
sensors. The attractive forces - attr F tend to infinity when the distance between
the nodes is zero thus avoiding collisions, while the repulsive forces - rep F tend
to infinity when the distance between the neighboring sensors is equal to the
communication radius, thus preventing the nodes to lose connectivity. The force
that will act on the i -th node is
ij
= and the node will move according
F
F
i
ij
,
neighbors,
ji
to
x F xm , where ν is a chosen dumping factor and m is the virtual mass
of the node (assumed to be one).

=
(
ν
)
/
i
i
i
 
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