MN691 Assignment 2: Wireless Sensor Network in Age Care Industry

This project, submitted by a group of students for the MN691 Research Methods and Project Design course, investigates the implementation of Wireless Sensor Networks (WSNs) in the aged care industry. The project outlines the growing elderly population and the increasing need for healthcare solutions, and proposes the use of WSNs to monitor patients' vital signs and activities. The project includes an introduction to WSNs, problem domain and research questions, weekly activities, schedule, roles and responsibilities, a Gantt chart, background information, project objectives, requirements analysis, and research methods. The project focuses on connecting multiple aged care centers to a central hospital via a WSN, utilizing various sensors such as accelerometers, blood pressure sensors, airflow sensors, ECG sensors, EMG sensors, GSR sensors, and others. The project aims to provide real-time monitoring, improve patient care, and reduce healthcare burdens. The project addresses the key drivers for selecting residential aged care, as well as domains that capture client experiences of care and quality of services. The project also includes a summary of the literature review and a discussion of the limitations. The project also contains a detailed project plan, implementation phases, and analysis of the results. The project concludes with a discussion of the findings and suggestions for future work.

MN691- WIRELESS SENSOR NETWORK
( AGE CARE INDUSTRY )
Assignment 2
SEPTEMBER 25, 2017
SUBMITTED BY: - ZEESHAN JAWED ANSARI (MIT162312), BHUPINDER SINGH
(MIT162230), JAGROUP SINGH (MIT161861), MOHD SHEIK LAEEQ (MIT162265)

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Acknowledgement
Signature of Students:
Sign your signature here
Date of Submission of Report: Put a date here clearly
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Table of Contents
Acknowledgement....................................................................................................................2
Abstract.....................................................................................................................................4
1. Introduction.......................................................................................................................5
2. Problem domain and research questions........................................................................5
2.1 Weekly Activity..........................................................................................................6
2.2 Schedule table............................................................................................................6
2.3 Roles & Responsibilities of Each Team Member...................................................7
2.4 Gantt chart.................................................................................................................9
3. Background and Project Objective................................................................................10
3.1 Summary of Literature Review..............................................................................10
3.2 Objectives of the Project..............................................................................................11
4. Project Requirements Analysis and Specification........................................................12
5. Research Methods to be used for the next stage of the project...................................20
6. Conclusion and limitations.............................................................................................32
7. References....................................................................................................... 33
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Abstract
Recent, advances in wireless networks and electronics have led to the emergence of
Wireless Sensor networks (WSNs). WSNs have been considered as one of the most important
technologies that can change the future. These networks consist of small battery–powered
motes with limited computation and radio communication capabilities. Each sensor in a
sensor network consists of three subsystems: the sensor subsystem which senses the
environment, the processing subsystem which performs local computations on the sensed
data, and the communication subsystem which is responsible for message exchanges with
neighboring sensors. WSNs comprise tiny wireless computers that sense, process, and
communicate environmental stimuli, including temperature, light, and vibration. WSNs have
been under rapid development and has become essential in such domains as industrial
operations (factory, production, supply chains), health care (home monitoring, biomedical,
food safety), environmental (agriculture, habitat preservation), infrastructure (energy, traffic
and transportation, flood gauges, bridge stress, power grids, water distribution), and military,
as well as for research and development.
Advances in wireless sensor networking have opened up new opportunities in
healthcare systems. Sensor-based technology has invaded medical devices to replace
thousands of wires connected to these devices found in hospitals. This technology has the
capability of providing reliability in addition to enhanced mobility. In the future, we will see
the integration of a vast array of wireless networks into existing specialized medical
technology.
This paper will investigate the application of current state-of-the-art of wireless sensor
networks in health care systems and will address how WSN concepts are integrated in our
computer engineering program..
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1. Introduction
Globally, the elderly population is growing and the general population is aging. Life
expectancy continues to increase with new advancements in health care. Subsequently, the
length of retirement is increasing. Concurrently, more are living with chronic diseases such as
heart disease, cancer, Alzheimer’s, and other forms of dementia, placing larger burdens on
healthcare systems. Today, more than 850 million people in the world who suffer from
chronic diseases are using up to 85% of the healthcare dollars. In the United States, this
amounts to more than $1.5 trillion dollars per year. According to the US Centers for
Medicare and Medicaid Services (CMS), the national health spending in the United States in
2008 was estimated to be $2.4 trillion dollars. The cost of heart disease and stroke takes
around $394 billion. Consequently, the US health care system is facing daunting future
challenges. The current situation is likely to worsen with the first baby boomers reaching
retirement age in the next decade. For the first time, the elderly is expected to outnumber the
young, not only in the United States but worldwide.
Throughout the world, the over age 65 population is projected to more than double from
357 million in 1990 to 761 million by 2025. In 1950, the total European elderly population
(age 65+) approximated 45 million; by 1995 had already more than doubled to 101 million;
and by 2025, is anticipated to exceed 173 million.
2. Problem domain and research questions
For Drivers for an alternative to residential aged care home the subsequent domains
square measure recommended:
a) Physical setting
b) Location
c) Maintaining identity
d) Keeping independence
e) Maintaining continuity
f) Staff capability and care with respect and dignity
g) Availability of care and health services in any respect times
h) Trusting management
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For key domains of quality for residential aged care home the subsequent domains square
measure recommended:
i) Choice
j) Respect and dignity
k) Physically environment
l) Social setting
m) Functional setting
n) Staff actions and interactions
o) Organizational setting and resources
p) Clinical and private care
Question 1- What area unit the key drivers for selection of a residential aged care point terms
of quality of care and services?
Question 2- What area unit the key domains that capture client experiences of care and
quality of services in residential aged care homes, with customers here together with
residents, their families, and vital others?
2.1 Weekly Activity
This weekly activity defined our works what we have done till now. We have
prepared the plan at the time we were starting the project and worked accordingly. We have
prepared the plan of 3 months (12 weeks) for our project work. Here we have mentioned all
task what we have done along with the project Gantt Chart.
2.2 Schedule table
Here we are defining our project flow with the time duration. The flow is having 11 levels of
works that was divided into 12 weeks. As we mentioned here, we have already done most of
the work based on this duration table.
The project schedule shown below: -
Table 1: Schedule Table for the Project
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2.3
Roles & Responsibilities of Each Team Member
Activities /
Roles
Zeeshan Bhupinder
Jagroup Mohd Sheik
Literature
Review
Literature
review on
WSN Analysis
Literature review
on WSN Security
Literature
review on
Wireless
Network Design
Literature
review on Body
Sensor Network
Summary of
Literature
Review
Discussion by all team members The summaries of the literature
reviewwillbe discussed by two of
the group members, and will
written by both of them
Generate the
Initial Report
Discuss and write by all team
members.
Research and discuss by both the
team members.
Provides
Overview of
WSN
Understand the network design and
select the appropriate tool to design
the network solution.
Analyze the simulation tools for
the WSN infra design.
Investigate
Features and
Limitations of
Algorithms for security in WSN Research on the
features come
up with the
Investigation of
VPN tunnel
7
S. No. Topic Weeks
1 Project Plan and Analysis Phase (Wireless Sensor
Network)
1
2 Designing Phase (Interface) 1
3 Implement Phase according to the paper (Simulation
Design)
2
4 Design of simulation of different sections in hospital 3
5 Implement different nodes 1
6 Calculate and Analysis Result 1
7 Evaluate the scenario for best network 1
8 Compare result using Graph and Table 1
9 Testing ¼
10 Documentation Work ½
11 Project Presentation ¼

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WSN
Simulations
limitations
Provide
Preliminary
Design for
Hospital
Management
Discuss by all team members Both the team members work
together on Gantt chart and
Member-3 will work on the outline
of the design
Analyze the
Business Case,
Generate
I
mplementation
Solution about
network
design
Discuss and Analyze by all team
members and found out a
simulation and security solution
regarding node connectivity
Discuss and Analyze by Member-4
find out
Organize
Schedul
eforImplement
ation in Next
Steps
Generate a schedule plan for the
implementation
Member-3will generate a schedule
plan for the implementation and
Member-4will outline the project.
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2.4 Gantt chart
Project Plan and Analysis Phase (Wireless Sensor Network) 21-Jul-2017 7
Designing Phase (Interface) 27-Jul-2017 15
Implement Phase according to the paper (Simulation Design) 5-Aug-2017 20
Design of simulation of different sections in hospital 14-Aug-2017 15
Implement different nodes 22-Aug-2017 10
Calculate and Analysis Result 30-Aug-2017 10
Evaluate the scenario for best network 10-Sep-2017 15
Compare result using Graph and Table 25-Sep-2017 10
Testing 28-Sep-2017 20
Documentation Work 22-Jul-2017 80
Project Presentation 21-Oct-2017 7
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3. Background and Project Objective
3.1 Summary of Literature Review
At the Interventional Center, Oslo University Hospital, they have developed,
implemented and tested a biomedical wireless sensor network (BWSN). The BWSN allows
simultaneous use of six different sensors. The following six different sensors were integrated:
 Memscap - Wireless Pressure Transducer
 Millicore - DigiVent Pulmonary Air Leakage
 Novosense - CardioPatch ECG sensor
 Novelda - Medical UWB-IR radar
 VTT - Heart Monitoring Accelerometer
 SINTEF - SpO2 & Temperature sensors
The BWSN was implemented using a commercial sensor integration platform from
Imatis, and was able to overcome several technical barriers such as sensor synchronization
and noise handling. There are other challenges that have yet to be overcome including the
design of Improvements to extend mobility outside the operating room, to improve security
handling, and to monitor several patients simultaneously.
As per my research I want to connect four Aged Care Center with Central Server to
Central Hospital. For topology you can refer my project design. As per design we have used
multiple sensors and boards given below:
Sensors:
1. Patient position sensors (Accelerometer)
2. Blood Pressure sensor (sphygmomanometer)
3. Airflow sensor (Breathing)
4. Electrocardiogram sensor (ECG)
5. Electromyography Sensor (EMG)
6. Galvanic skin Response sensor (GSR-Sweating)
7. Glucometer sensor
8. Body temperature sensor
9. Pulse & Oxygen in Blood sensor (SPO2)
Sensor connector:
1. e-health sensor shield
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Soc:
1. Intel Galileo
3.2 Objectives of the Project
It is of utmost importance to provide affordable, high-quality healthcare to the elderly
while enabling them to live independently. At Aged Care Center can help address the social
and financial burdens of an aging population. At Aged Care Center can be achieved by using
WSNs. The general problem of acquiring physiological and behavioral data from patients for
diagnosis, monitoring, or chronic disease management can be addressed using WSNs. These
wireless sensors can be installed in a patient’s Aged Care Center environment to provide real-
time and extended monitoring of activity and wellbeing. When coupled with communications
technologies such as WiFi and the Internet, the sensor network can keep family, caregivers
and physicians informed, while also establishing trend and detecting variability in the health
of the patient. The Purpose of use WSNs technology in home health care and elderly care
centers.
4. Project Requirements Analysis and Specification
As per my research I want to connect four Aged Care Center with Central Server to
Central Hospital. For topology you can refer my project design. As per design we have used
multiple sensors and boards given below:
1. Patient position sensors (Accelerometer):
The e-Health Body Position Sensor monitors five different patient positions
(standing/sitting, supine, prone, left and right.)In many cases, it is necessary to monitor the
body positions and movements made because of their relationships to particular diseases (i.e.,
sleep apnea and restless legs syndrome). Analyzing movements during sleep also helps in
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determining sleep quality and irregular sleeping patterns. The body position sensor could also
help to detect fainting or falling of elderly people or persons with disabilities.
2. Blood Pressure sensor (sphygmomanometer):
Blood pressure sensor is the pressure sensor of the blood in the arteries as it is
pumped around the body by the heart. When your heart beats, it contracts and pushes blood
through the arteries to the rest of your body. This force creates pressure on the arteries. Blood
pressure is recorded as two numbers—the systolic pressure (as the heart beats) over the
diastolic pressure (as the heart relaxes between beats).
3. Airflow sensor (Breathing):
The nasal airflow sensor is a device used to monitor airflow rate of a patient in need
of respiratory help. This device consists of a flexible thread which fits behind the ears, and a
set of two prongs which are placed in the nostrils. Breathing is measured by these prongs.
4. Electrocardiogram sensor (ECG):
The Electrocardiogram Sensor (ECG or EKG) allows you to assess the electrical and
muscular functions of the heart. The electrocardiogram (ECG) has grown to be one of the
most commonly used medical tests in modern medicine
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5. Electromyography Sensor (EMG):
EMG signals are used in many clinical and biomedical applications. EMG is used as a
diagnostics tool for identifying neuromuscular diseases, assessing low-back pain,
kinesiology, and disorders of motor control. EMG signals are also used as a control signal for
prosthetic devices such as prosthetic hands, arms, and lower limbs.
6. Galvanic skin Response sensor (GSR-Sweating):
The Galvanic Skin Response Sensor (GSR - Sweating) allows you to measure the
electrical conductance of the skin. It acts as an indicator of psychological or physiological
arousal.
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7. Glucometer sensor:
The Glucometer Sensor allows the user to measure the approximate concentration of
glucose in blood. A small drop of blood, obtained by pricking the skin with a lancet, is placed
on a disposable test strip that the meter reads and uses to calculate the blood glucose level.
The meter then displays the level in mg/dl or mmol/l.
8. Body temperature sensor:
The Body Temperature Sensor allows you to measure this key parameter for body
monitoring. The reason is that a number of diseases are accompanied by characteristic
changes in body temperature. Likewise, the course of certain diseases can be monitored by
measuring body temperature, and the efficiency of a treatment initiated can be evaluated by
the physician.
9. Pulse & Oxygen in Blood sensor (SPO2):
The Pulse and Oxygen in Blood Sensor (SPO2) allows you to measure the amount of
Oxygen dissolved in blood. Oxygen saturation is defined as the measurement of the amount
of oxygen dissolved in blood, based on the detection of Hemoglobin and Deoxyhemoglobin.
Sensor Connector:
1. e-health sensor shield V2.0:
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The e-Health Sensor Platform has been designed by Cooking Hacks in order to help
researchers, developers and artists to measure biometric sensor data for experimentation, fun
and test purposes. However, as the platform does not have medical certifications it can not be
used to monitor critical patients who need accurate medical monitoring or those whose
conditions must be accurately measured for an ulterior professional diagnosis.
This product is compatible with Arduino, Raspberry Pi (Model B+), Raspberry Pi 2 (Model
B) and Intel Galileo boards. See below the links to each of the tutorials.
Soc:
1. Intel Galileo Board:
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Key Features Why it Matters
The Intel Galileo is a development board
based on the IntelQuark SoC X1000, a 32-
bit Intel Pentium brand system on a chip.
The Intel Galileo has built-in networking and more
memory capability than other boards, making it easy to
combine libraries and incorporate large display
functions.
First board based on Intel architecture
designed to be hardware and software pin-
compatible with Arduino Uno R3, and the
Arduino software development environment
(IDE).
Usability and serial communication are easy to
implement. The Intel Galileo has USB host support,
and can interface with many different devices, such as
webcams, etc.
Support for Microsoft Windows, Mac OS
and Linux host operating systems, and the
Arduino software integrated environment.
The Intel Galileo development board allows to quickly
prototype interactive Arduino-compatible designs for
new projects from home automation to robotics.
Modules and shields compliant with Intel
Galileo include:
e-Health Sensor Platform
GPRS / GSM Quadband shield (SIM900)
GPRS / GSM Geolocation Tracker shield
(SIM908)
3G + GPS shield
RFID 125 KHz shield
RFID 13.56 MHz/ NFC shield
GPS module
Bluetooth PRO module
Wi-Fi module
Geiger counter – Radiation Sensor board
All modules and shields developed by Cooking Hacks
for Arduino and Raspberry Pi can now be used with
Intel Galileo. Makers and developers can reuse their
existing boards with this new development platform.
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Project plan and preliminary design
17
Mercy Place
East
Hope Aged
Care
Napier Street Aged
Care
TLC Aged Care
St Vincent's Hospital
Melbourne

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As per my research I connect four Aged Care Center with Central Server to
Central Hospital. So that time to time Patient information we can collect through age Care
Center. Sensor node is made up of four basic components such as sensing unit, processing
unit, transceiver unit and a power unit which is shown in Figure.
It also has application dependent additional components such as a location finding
system, a power generator and a mobilizer. Sensing units are usually composed of two
subunits: sensors and analogue to digital converters (ADCs) the analogue signals produced by
the sensors are converted to digital signals by the ADC, and then fed into the processing unit.
The processing unit is generally associated with a small storage unit and it can manage the
procedures that make the sensor node collaborate with the other nodes to carry out the
assigned sensing tasks. A transceiver unit connects the node to the network. One of the most
important components of a sensor node is the power unit. Power units can be supported by a
power scavenging unit such as solar cells. The other subunits, of the node are application
dependent.
A functional block diagram of a versatile wireless sensing node is provided in Figure.
Modular design approach provides a flexible and versatile platform to address the needs of a
wide variety of applications. For example, depending on the sensors to be deployed, the
signal conditioning block can be re-programmed or replaced. This allows for a wide variety
of different sensors to be used with the wireless sensing node. Similarly, the radio link may
be swapped out as required for a given applications’ wireless range requirement and the need
for bidirectional communications.
5. Research Methods to be used for the next stage of the project
As per my architecture first all patient will have list of sensors as per need and sensor's
description already given below. Now all sensors we will have to connect with sensor
connector (e-health sensor shield V2.0). After that we will connect sensor connector to our
central server (Hospital) using MQTT/TCP/IP protocol. We are using this type of topology
for take care of our old aged patients.
Now as per the topology one hospital can track at time four Aged Care Center patients
status (Same City). If they have a need of any extra treatment management can be aware
about them and within a time they can start the treatment. For topology you can refer my
project design. As per design we have used multiple sensors and boards given below:
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1. Patient position sensors (Accelerometer):
This sensor is pretty good to monitor different positions of the patient and that can be
while standing, while sitting, while supine, while prone and left to right positions. This is
very necessary sensing technique because many of the diseases can be track on the basis of
body positions and those diseases are restless legs syndrome and sleep apnea. This can be
analyzed through sensor during sleep time. Through the position of the body we can also
track if the elder person is falling or fainting.
2. Blood Pressure or BP Sensor (sphygmomanometer):
This sensor is very useful for aged people as they are mostly suffering with high
blood pressure or low blood pressure problem. While sensing the BP, we can get the
heartbeat report and cure if there is any problem is to create.
3. Airflow sensor (Breathing):
Using dual prongs, this sensor can sense the breath rate of any person. This is very
useful to count the airflow as the elder person is able to breathe properly or not. This can be
wear on ear top and connect with nose.
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4. Electro Cardio Gram Sensor (ECG):
This sensor is pretty good in sensing the muscular and electrical functions performed
by the heart of elder person. This is the most using sensor in all healthcare centers and
hospitals. Very useful to track patient health related to heart and brain.
5. Electromyography Sensor (EMG):
This is very useful sensor to track the muscular related problems like back pain and
knee related issues. This is providing a signal based sensing which is used to track the
prosthetic hands and devices.
6. Galvinc skin Response sensor (GSR-Sweating):
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This sensor is tracking the status of skin so that we can find the specific condition of
the patient like if he or she is over sweating or not so that we can provide a proper cure to
them.
7. Glucometer sensor:
This sensor is sensing the glucose level of the body so that we can track if the patient
is having any problem of dehydration or not. If glucose level get down this will send the
signal to the centre and our care staff will attend the patient.
8. Body temperature sensor:
This sensor is work on the temperature of the patient body. Here using this we can
find the patient health condition if he or she is suffering with any fever or not. This is most
commonly using sensors.
9. Pulse & Oxygen in Blood sensor (SPO2):
This sensor is pretty good to find the pulse rate of the body which is more useful to
get blood pressure related problem tracking and oxygen meter is showing the level of oxygen
into the body as patient is able to breathe or not.
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Sensor Connector:
1. e-health sensor shield V2.0:
This platform is specially designed for those who are pretty much into the health
related researches and development in biometric products. This is very useful for health care
centers and age care centers in many places. This is designed to be work with multiple of
supporting devices like: Arduino board, Raspberry Pi board and Intel boards.
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Network Design
To elaborate the network, here we have multiple node sensors at the elder people end,
those sensors are connected with gateway at every specific area and that gateways are
connected with some edge routers. Now to centralize the whole network we have WAN
network using BTS towers at every location. Through internet we connect those sensors and
then that sensors can be call from the hospitals or age care centers.
Using flash memory, the remote nodes acquire data on command from a base station,
or by an event sensed by one or more inputs to the node. Moreover, the embedded firmware
can be upgraded through the wireless network in the field. The microprocessor has a number
of functions including:
 Managing data collection from the sensors
 Performing power management functions
 Interfacing the sensor data to the physical radio layer
 Managing the radio network protocol
A key aspect of any wireless sensing node is to minimize the power consumed by the
system. Usually, the radio subsystem requires the largest amount of power. Therefore, data is
sent over the radio network only when it is required. An algorithm is to be loaded into the
node to determine when to send data based on the sensed event. Furthermore, it is important
to minimize the power consumed by the sensor itself. Therefore, the hardware should be
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designed to allow the microprocessor to judiciously control power to the radio, sensor, and
sensor signal conditioner.
As a communication point of view these scattered sensor nodes has the capabilities to
collect data and route data back to the sink and the end users. Data are routed back to the end
user by a multi-hop infrastructure-less architecture through the sink. The sink may
communicate with the task manager node via Internet. The protocol stack used by the sink
and the sensor nodes.
Protocol stack combines power and routing awareness, integrates data with networking
protocols, communicates power efficiently through the wireless medium and promotes
cooperative efforts of sensor nodes. The protocol stack consists of the application layer,
transport layer, network layer, data link layer, physical layer, power management plane,
mobility management plane, and task management plane. Different types of application
software can be built and used on the application layer depending on the sensing tasks. This
layer makes hardware and software of the lowest layer transparent to the end-user. The
transport layer helps to maintain the flow of data if the sensor networks application requires
it.
The network layer takes care of routing the data supplied by the transport layer, specific
multi-hop wireless routing protocols between sensor nodes and sink. The data link layer is
responsible for multiplexing of data streams, frame detection, Media Access Control (MAC)
and error control. Since the environment is noisy and sensor nodes can be mobile, the MAC
protocol must be power aware and able to minimize collision with neighbors’ broadcast. The
physical layer addresses the needs of a simple but robust modulation, frequency selection,
data encryption, transmission and receiving techniques.
The power, mobility, and task management planes monitor the power, movement, and
task distribution among the sensor nodes. These planes help the sensor nodes coordinate the
sensing task and lower the overall energy consumption.
The Age care wireless sensor network is illustrated in the below diagram.
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MS Visio file is attached here.
The age care wireless sensor network is used to tract the details of the patients. The
wireless sensor was helpful to identify the financial and social burdens of the aging
population. The health care organization uses the sensor and it is placed on a person’s body,
which communicates and provides the health status of the patients. The wireless sensors are
connected to PC, which provides the status of the patients. The PC is used to monitor the
sensor actions and provides detailed information, based on the communication of the sensors.
The wireless sensor network contains four sensors. These are used to collect the patient’s
physiological signals, which are forwarded from the health data centre to the server, with the
help of wireless relay nodes. Later, presenting the data, analyzing and storing the received
data are completed with the help of the Graphical user interface. The sensors also send SMS
to the patient’s family and to the health care provider during emergency conditions, by using
the GSM modem.
The wireless sensor network contains the following components:
a) Sensor nodes
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b) GPS
c) Computer
d) Cisco Routers
e) Cisco Switches
f) Cisco Server
g) Cisco Firewall
h) Cisco Wireless Access point
The sensor nodes have different roles to play. The wireless sensors are simultaneously
used to monitor and sense various parameters that are determined by the health care
physicians. The sensors provide patient details such as blood pressure, motion detection
accelerometers, movement and heart rate of the fetal [10].
The GPS system is used to send emergency SMS and email to the health care
including the patient’s family. Moreover, it also shares the patient’s location. It also helps to
determine the patient’s emergency conditions. The sensors measure the blood pressure and
detect the patient’s position. It reduces the energy consumption and achieves more energy
conservation. It also measures the end-to-end delay, coverage range and energy consumption.
It does not require high frequency band. The wireless sensor network finds monitoring the
patient’s life quality as challenging. The sensors simultaneously monitor and check the
patient’s critical parameters; their heart beat rate and blood pressure. The collected
information is forwarded to the physician. It did the long term checking and monitoring of the
patient’s condition. Therefore, if any emergency occurs, the GPS system sends Email and
SMS to the health care along with the patient’s location. It provides better performance when
compared to other existing wireless sensor networks.
The wireless sensor network uses Cisco products to provide effective network
infrastructure, for an age care health care University. The Cisco routers, switches, server and
access points provide efficient and sufficient network for a health care. The Cisco firewall is
used to provide a secure network infrastructure. It securely transmits and collects the data in
the health care organization. The Age care organization securely maintains the patients’
details by using the Cisco server. The wireless sensor network is monitoring and sensing the
patients and provides the information to the specific people. It has emerged as a network
device that meets the consumer centric expectations. It also provides high human interface
functionality [11]. The overall wireless sensor network provides effective and secure network
connection.
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Soc:
1. Intel Galileo Board:
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Research methods to be used for the next stage of the project
Basic steps:
At patient node
Intel Galileo board & whole hardware setup:
Step 1- Firstly, creating a bootable device i.e. any microsd card
Step 2- Getting connect the board with power sources
Step 3- Setting up the monitor in serial mode
Step 4- Connect through network using wireless module
Step 5- Set up your required IDE (such as Arduino)
Step 6- Install drivers & libraries
Step 7- connect sensors with human body
Step 8- connect sensors output terminal with sensor shield
Step 9- connect sensor shield on Galileo board
Step 10- write & upload your sketch
Step 11- Board will be connect the central broker as mqtt client with unique Id.
At central server or broker (patient care taker)
Step 1- Set up your PC or system
Step 2- download & install required ID
Step 3- Install mqtt server (Mosquito)
Step 4- Config user & password for subscribing this server
Step 5- monitor & visualize the health data info
Step 6- Store the all unique client Id health info data in the database.
Step 7- At critical reading of health of particular node send the information to city hospital.
At city hospital
Step 1- set up PC or system to get info from the central server
Step 2- Download & Install required Ide & Sdk
Step 3- subscribe the central server
Step 4- visualize & monitor the health info data getting through central broker for particular
node
Step 5- Take action according to health info.
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6. Conclusion and limitations
Today, there's an increasing interest in developing technical solutions, by academe and
trade alike, to deal with issues with the provision. Whereas it's troublesome to accurately
predict the longer term of any field, the world aging population presents steep challenges for
the care trade to deliver services to all or any World Health Organization want it whereas
adapting to a brand new atmosphere that demands cutting prices of care services. In fact, the
longer term of care in our more and more aging world can oblige present observation of
health with the smallest physical interaction of doctors with their patients. Low-priced
technologies square measure expected to help within the delivery of services whereas at the
same time reducing prices. Wireless sensing element networks have the potential to help in
meeting a number of these future challenges, by simplifying the use of medical
instrumentality, advancing at-home medical aid, and displaying health and welfare data to
each supplier and patients. The planning of higher wireless medical sensing element networks
looks to be a decent resolution to a part of the matter. As a result, wireless sensing element
networks are getting more and more necessary for monitoring patients each within the
clinical settings likewise as home.
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7. References
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