Information Technology Reference
In-Depth Information
Table 6.1 (conti nued)
Goals and
performances
Algorithm
Advantages
Disadvantages
ZONER
Coverage improvement
with energy efficient
approach for sensor
relocation
Guaranties replacement
discovery and closest
node replacing, void
area capability
Local protocol, sometimes
increased message
overhead
MSRP
Coverage improvement
with improved
mitigation path
discovery
Low message complexity
and constant storage
load
Local protocol, sometimes
can cause increased
message overhead
SMART
Even sensor deployment Distributed protocol,
improved
convergence rate
Works for dense networks,
message overheads
SNAP &
SPREAD
Uniform and regular
sensor deployment,
coverage uniformity
Local knowledge, avoids
useless movements,
energy effective
Does not guarantee hole
elimination, possible
network partitioning
MaxNetLife
Increasing cumulative
connected coverage
Preemptive relocation of
sensor nodes, scalable
and applicable
Localized protocol, long
termination time
GA & GRG
Connectivity and
coverage
Finite execution time
Obstacles are not taken into
consideration
Distributed, minimal
communication and
computation
Requires knowledge of
nodes positions
EBD
Coverage maintenance,
convergence towards
event distribution
SEC
Bounding event loss
probability
Good analytical
algorithm design
Only analytical analyzes,
PoI are known a priori
EDSSA
Jointly achieves
network
deployment and
relocation
No centralized
control, no
communication
between distant
nodes
Similar constraints as virtual
force based algorithms
disadvantages of the approaches, which were described in the algorithms' defini-
tions. The table gives a list of several algorithms, with their major characteristics
and specifics.
6.3.2
Sensing Enhancement
Mobile sensors have the advantage to move to locations that meet sensing coverage
requirements. Enhancing sensing in WSN can be achieved with repositioning sen-
sors to mitigate sensor failure and moving toward events that occur in the network
and that need to be captured in real time. Strategies about the specific problems are
further discussed, while their comparisons are added on the previous Table 6.1 .
An event-based deployment (EBD) framework is introduced in [ 31 ], where
sensors move to locations where events are detected, while maintaining a desirable
coverage for the entire field. The presented approach consists of two distributed
 
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