The Internet of Things (IoT)
is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and
exchange data.
The Internet of Things allows objects to be sensed and
controlled remotely across existing network infrastructure, creating opportunities for more direct
integration between the physical world and computer-based systems, and
resulting in improved efficiency, accuracy and economic benefit. Each
thing is uniquely identifiable through its embedded computing system but is
able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost
50 billion objects by 2020.
British entrepreneur Kevin Ashton first coined the term in 1999 while
working at the Auto-ID Labs (originally called Auto-ID centers - referring to a
global network ofRadio-frequency
identification (RFID) connected objects).
Typically, IoT is expected to offer
advanced connectivity of devices, systems, and services that goes beyond machine-to-machine
communications (M2M) and covers a variety of protocols, domains, and applications. The
interconnection of these embedded devices (including smart objects), is expected to usher in automation in nearly
all fields, while also enabling advanced applications like a Smart Grid, and expanding to the areas such as smart cities. "Things," in the IoT sense, can
refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric
clams in coastal waters, automobiles with built-in sensors, or
field operation devices that assist firefighters in search and rescue operations. These devices collect
useful data with the help of various existing technologies and then
autonomously flow the data between other devices. Current market examples
include smart thermostat systems and washer/dryers that use Wi-Fi
for remote monitoring.
Besides the plethora of new application areas
for Internet connected automation to expand into, IoT is also expected to
generate large amounts of data from diverse locations that is aggregated very
quickly, thereby increasing the need to better index, store and process such
data.
No comments:
Post a Comment