to Wireless Sensor Networks (WSNs):
The main purpose of this discussion is to give brief research, development and
the unique features of Wireless Sensor Networks in recent past to overcome the
inference problem in communication networks.
In the recent past years there were
much advance development and progress in WSNs that significantly increased over
the last decades in computer communication networking, wireless communication
and integrated circuits. This field of research has major impact upon the many
daily day to day used applications like environmental monitoring, surveillance
and advance security detection and tracking system.
WSNs is integrated circuit technology with Sensing nodes which are powered by a
battery that has capabilities of sensing, monitoring, computing and wireless
communication over the distributed network to detect, determine, track and
estimate the results in particular deployment area.
Here in the summary of the
this article the author talk about the features that had revitalized
development in this area over the past and due to its advances research over
the WSNs; WSN is mainly used in various fields of distributed detection,
tracking and estimation purpose due to its high flexibility, robust and enhanced
surveillance and mobility sensing but there are many inference problems that
need to be consideration during the connection of sensors and the resources
while communication over the networks in application like battlefield
surveillance or any structural health management.
used are invariably involve with statistical inference in environmental
detection, estimation or tracking for example just take the use of thermal
sensors that are remote to measure the heat sources and intensity in a
manufacturing environment but the collected information to detecting and
estimation used in WSNs is distributed across the network and wireless
communication, so these parameters used in any decision making might prove to
be wrong due to the distributed network inference that might alter the
information collected over the network.
discuss the problems related to detection and parameter estimation. In WSN
there are two main distributed inference problem detection there are:
wireless network communication; which is particular to general communication
architecture in the network. There are two main algorithms underlying the
sensors topology those are:
topology : One of the most common and simple used structured topology, where in
all the sensors make individual observations and communicates with the gateway
or fusion center directly but it has the limitation of scalability when nodes
are at large distance from gateway will have poor connectivity.
topology: In this topology the decision rules at fusion is intertwined with
each other in jointly to determine the output.
management system; which is particular about the sensor resource management and
In short WSN is formed with the group of sensors which in turn formed by sensor
nodes each node equipped with electronic microcontroller circuits to transmit
the radio signals with an antenna powered by battery that are connected
together in the wireless distributed network for measuring various
environmental conditions remotely or locally in diverse locations. There are
many efforts to develop and deploy efficient WSN to fulfill the various
application needs in any geographical constraints. The different deployment
strategies and design criteria for WSN are develop to ensure the complete
monitoring considering the limitation of power constraint and area of coverage
with technically non feasible issues of the network not reachable by the data
collectors from the sensors due to the locations constrains.
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