150
Internet of Things (IoT)
the base stations for the management of the sensors. These sensors are interconnected by
wireless communication in the base station and connected to the remote places through
3G modem (Botia et al. 2012). It maintains the communication from small range to larger
range using different protocols mentioned in Figure 8.10.
8.6 Analytics in IoT
Sensor, mobile, and wireless technologies are driving the evolution of the IoT. The
true business value of the IoT lies in analytics rather than hardware novelties. The first
thing to understand about analytics on IoT data is that it involves datasets generated by
sensors, which are now cheap and sophisticated to support a seemingly endless variety
of use cases.
The potential of sensors lies in their ability to gather data about the physical environment, which can be analyzed or combined with other forms of data to detect patterns.
8.6.1 The IoT Analytics in Health Care
The IoTA in health care encompasses heterogeneous computing, wireless communication
systems, and applications and devices that help patients and providers for monitoring,
tracking, and storing patients’ vital statistics or medical information. Examples of such
systems are smart meters, RFID, wearable health monitoring sensors, and smart video
cameras. Also, smart phones, intelligent vehicles, and robotics are considered to be part
Hardware
Links between sensors
Subject’s home
Software
Detectors
-Pressure
-Presence
-Open doors
-Others
Mini.CPU
Base
station
3G modem
Management of
inconsistencies
Management of
dynamics of the
user model
Open context
platform
Adapters
Ontology
FIGURE 8.11
Architecture on ontology-based communicating emergency response system.
Internet of Things (IoT)
the base stations for the management of the sensors. These sensors are interconnected by
wireless communication in the base station and connected to the remote places through
3G modem (Botia et al. 2012). It maintains the communication from small range to larger
range using different protocols mentioned in Figure 8.10.
8.6 Analytics in IoT
Sensor, mobile, and wireless technologies are driving the evolution of the IoT. The
true business value of the IoT lies in analytics rather than hardware novelties. The first
thing to understand about analytics on IoT data is that it involves datasets generated by
sensors, which are now cheap and sophisticated to support a seemingly endless variety
of use cases.
The potential of sensors lies in their ability to gather data about the physical environment, which can be analyzed or combined with other forms of data to detect patterns.
8.6.1 The IoT Analytics in Health Care
The IoTA in health care encompasses heterogeneous computing, wireless communication
systems, and applications and devices that help patients and providers for monitoring,
tracking, and storing patients’ vital statistics or medical information. Examples of such
systems are smart meters, RFID, wearable health monitoring sensors, and smart video
cameras. Also, smart phones, intelligent vehicles, and robotics are considered to be part
Hardware
Links between sensors
Subject’s home
Software
Detectors
-Pressure
-Presence
-Open doors
-Others
Mini.CPU
Base
station
3G modem
Management of
inconsistencies
Management of
dynamics of the
user model
Open context
platform
Adapters
Ontology
FIGURE 8.11
Architecture on ontology-based communicating emergency response system.