Optimization using Particle Swarm in WSN for
Fault Tolerance
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
S V Krishna Reddy, Anil Kumar
Volume:
3
Issue:
3
Grenze ID:
01.GIJET.3.3.181
Pages:
236-240
Abstract
Recent advancement in the area of MEMS, communications with wireless
technologies, digital electronics have led for the emergence in WSNs, which having
maximum of sensing devices which are capable in detecting, processing, transmitting some
information like environmental changes etc. Every single sensor node equipped only with
limitations in computation and also communicating capabilities; but WSN nodes, which are
sensors, when properly configured, can combined perform tasks related to signal processing
to get the information from a remote area that may be dangerous area in an untended,
robust way. Applications including smart spaces, battlefield surveillance, biological
detection, industrial diagnostics, environmental monitoring, etc. Many advancements are
undergoing for the technologies with wireless communications. Since few years there had a
sharp growth for the research in WSNs. In such networks communication happens with
spatially distributed sensor node which are autonomous and powered to sense particular
information. This paper explaining how it maximizes the coverage by identifying the fault
node and covering the vacant area of the found node and to minimize the consumption of
energy in WSN by optimizing the communication distance between the sensor-nodes and
the data collector (sink-point) when node is mobile.