Wireless
Sensor Network (WSN)
·
Sensor
networks are the key to gathering the information needed by smart environments,
whether in buildings, utilities, industrial, and transportation systems.
·
Recent
terrorist and guerilla warfare countermeasures require distributed networks of
sensors that can be deployed using, e.g. aircraft, and have self-organizing
capabilities. .
·
The
emerging field of wireless sensor networks combines sensing, computation, and
communication into a single tiny device.
·
WSN consists
of spatially distributed sensors to monitor physical or environmental conditions,
such as temperature, sound, vibration
or motion to pass their data through the network to a main location.
·
Wireless
sensor network can be looked as an event-based system with one “sink”
subscribing to specific data streams by expressing interest and queries. The
remaining sensors act as “sources” to report environmental events to the
subscriber sink
·
The
more modern networks are bi-directional, also enabling control of sensor activity.
·
The
WSN is built of "nodes" – from a few to several hundreds or even
thousands, where each node is connected to one (or sometimes several) sensors.
·
Each
such sensor network node has typically several parts: a radio transceiver with an internal antenna or connection to an external antenna,
a microcontroller,
an electronic circuit for interfacing with the sensors and an energy source,
usually a battery or
an embedded form of energy
harvesting.
·
A sensor node might vary in size and cost depending
on the complexity of the individual sensor nodes.
·
Size
and cost constraints on sensor nodes result in corresponding constraints on
resources such as energy, memory, computational speed and communications
bandwidth.
·
The
topology of the WSNs can vary from a simple star network
to an advanced multi-hop wireless mesh network.
·
The
propagation technique between the hops of the network can be routing.
·
Basic
features of sensor networks are:
Ø
Self-organizing
capabilities
Ø
Short-range
broadcast communication and multi-hop routing.
Ø
Dense
deployment and cooperative effort of sensor nodes
Ø
Frequently
changing topology due to fading and node failures
Ø
Limitations
in energy, transmit power, memory, and computing power.
·
The
development of wireless sensor networks was motivated by military applications
such as battlefield surveillance; today such networks are used in many
industrial and consumer applications, such as industrial process monitoring and
control, machine health monitoring, and so on.
Classification
of Wireless Sensor Network
A
simple classification of Wireless sensor networks based on their mode of
functioning
- Proactive Networks
The
nodes in this sort of network periodically switch on their sensors and
transmitters, sense the environment and transmit the data of interest. Hence,
they collect the data for the relevant parameters at regular intervals. They
are well suited for applications requiring periodic data monitoring. Some
instances or protocols of this kind are the LEACH (Low Energy Adaptive
Clustering Hierarchy) protocol, some improvements on LEACH such as and PEGASIS
(Power-efficient gathering in sensor information systems)
- Reactive Networks
The
nodes of the networks according to this scheme react immediately to sudden and
drastic changes in the value of a sensed attribute. They are well suited for
time critical applications.
- Hybrid Networks
The
nodes in such a network not only react to time-critical situations, but also
give an overall picture of the network at periodic intervals in a very energy
efficient manner. Such a network enables the user to request past, present and
future data from the network in the form of historical, one-time and persistent
queries respectively. Such kind of network takes advantages of Proactive and
Reactive networks.
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