11 Healthcare IoT
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When designing context-aware monitoring systems, it is important to give proper
consideration to reasoning, interpretation, and observation of the patient’s condition
from multiple perspectives including environmental, behavioral, and physiological
areas. A system also has to consider all pertinent context dimensions including
human activities, objects, location, time, frequency, and posture. Available historical
data such as health documentation of disease, diagnoses, treatment plans, daily
behavior, noted health changes, and environmental conditions (i.e., humidity and
temperature) are also influential to system intelligence [18].
11.6.10 Availability and Reliability
Enabling accessibility to suitable health data in a timely fashion is another important
issue for consideration in IoT healthcare. Dependable data delivery affects the
availability of health information, and lack of data can negatively affect a patient at a
critical point. The reliability of data accessible via wireless networks in healthcare is
dependent upon several factors such as device range, network coverage, availability
of power, routing protocols, and device or network failure. Issues of reliability can
be categorized into data acquisition, communication, data analysis, data measurement, and data governance.
11.6.11 Data Transmission
Choosing a method for transmitting data collected from sensors to back-end
cloud servers for processing and analysis is a frequent challenge in the design
and implementation of IoT healthcare applications. The transmission of data in
a network is classified into four different schemes: anycast, broadcast, multicast,
or unicast. Broadcast or multicast schemes can improve reliability because both
concurrently supply packets to multiple receivers. However, this policy can increase
network traffic and can cause transmission delays. Unicast schemes include the
least amount of network traffic and deliver packets to a solitary receiver; however,
a procedure for locating an alternate receiver is required in case a transmission
should fail. The anycast scheme includes lower overhead traffic in comparison to
multicast or broadcast schemes and is a newer routing method that sends data
packets to the closest receiver. It is considered more dependable than the unicast
scheme when it comes to locating new receivers, but anycast requires more complex
network routing and devices. More comprehensive considerations born out of the
challenge of data transmission include the amount of transmitted data, transmission
technology and frequency, and normal packet size. Each of these considerations can
have a significant impact on a system’s availability, dependability, effectiveness,
energy use, and network traffic [18].
539
When designing context-aware monitoring systems, it is important to give proper
consideration to reasoning, interpretation, and observation of the patient’s condition
from multiple perspectives including environmental, behavioral, and physiological
areas. A system also has to consider all pertinent context dimensions including
human activities, objects, location, time, frequency, and posture. Available historical
data such as health documentation of disease, diagnoses, treatment plans, daily
behavior, noted health changes, and environmental conditions (i.e., humidity and
temperature) are also influential to system intelligence [18].
11.6.10 Availability and Reliability
Enabling accessibility to suitable health data in a timely fashion is another important
issue for consideration in IoT healthcare. Dependable data delivery affects the
availability of health information, and lack of data can negatively affect a patient at a
critical point. The reliability of data accessible via wireless networks in healthcare is
dependent upon several factors such as device range, network coverage, availability
of power, routing protocols, and device or network failure. Issues of reliability can
be categorized into data acquisition, communication, data analysis, data measurement, and data governance.
11.6.11 Data Transmission
Choosing a method for transmitting data collected from sensors to back-end
cloud servers for processing and analysis is a frequent challenge in the design
and implementation of IoT healthcare applications. The transmission of data in
a network is classified into four different schemes: anycast, broadcast, multicast,
or unicast. Broadcast or multicast schemes can improve reliability because both
concurrently supply packets to multiple receivers. However, this policy can increase
network traffic and can cause transmission delays. Unicast schemes include the
least amount of network traffic and deliver packets to a solitary receiver; however,
a procedure for locating an alternate receiver is required in case a transmission
should fail. The anycast scheme includes lower overhead traffic in comparison to
multicast or broadcast schemes and is a newer routing method that sends data
packets to the closest receiver. It is considered more dependable than the unicast
scheme when it comes to locating new receivers, but anycast requires more complex
network routing and devices. More comprehensive considerations born out of the
challenge of data transmission include the amount of transmitted data, transmission
technology and frequency, and normal packet size. Each of these considerations can
have a significant impact on a system’s availability, dependability, effectiveness,
energy use, and network traffic [18].