Information Technology Reference
In-Depth Information
GRG is a combination of GA and a rotation which is applied in a node when its
GA movement is blocked. Rotation around PoI is performed in a counterclockwise
direction, and a node will stop rotating after it reaches a vertex when greedy move-
ment can resume (or when the rotation in the next hop is occupied, or else when it
returns to the starting vertex). The nodal rotation will form the final network in a
hexagon shape. The suspension and competition rules can be further implied.
The algorithms are localized self-deployment algorithms, and performance
analyses demonstrate that in a finite time they yield to a connected network with
full coverage. However, the results of analyses are achieved without taking into
consideration the possible obstacles in the sensor field.
Comparisons among the various strategies for coverage improvement are sum-
marized in Table 6.1 . The comparison is based on the goals and advantages vs.
Table 6.1 Comparison of different approaches for coverage improvement
Goals and
performances
Algorithm
Advantages
Disadvantages
PFA
Coverage
improvement
while
maintaining
k-connectivity
Scalability,
no need of
centralized
control and
localization
Computation expensive,
assumption that
every node knows the
position and bearing
of the other nodes
VFA
Increasing coverage
after random
sensor deployment
Only local knowledge,
no need of
centralized control
and localization,
flexibility, negligible
computation time
Possible coverage holes
near the obstacles,
computation expensive
DSSA
Maximizing coverage
and maintaining
uniformity
Distributed algorithm,
limits possible
oscillations
Requires location awareness,
obstacles are not
considered
VEC, VOR,
min-max
Reducing or eliminating
coverage holes
Distributed
algorithms, local
communications
and movements
Poor performances in
disconnected and
clustered networks
BIDP
Coverage improvement
with distributed
allocation of
mobile nodes to the
coverage holes
Distributed protocol,
cost balance
Several nodes can move
towards same hole,
requires knowledge of
the nodes positions
PROXY
Reducing energy
consumption and
load balancing,
while maintaining
coverage
One time movement,
multiple healing
avoidance
Requires location awareness,
bandwidth demanded,
high complexity for
implementation
Quorum based
Reduction of the sensor
relocation time,
balance of the
energy consumption
Distributed algorithm,
relocation towards
failed nodes
Requires pre-knowledge of
the sensor field, message
overheads, replaces
sensors after failing
(continued)
 
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