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Low-Power Consumption for
Mobile Healthcare Monitoring
By
Abidoye Ademola Philip
(Student No: 3008758)
Supervised by: Prof. Henry O. Nyongesa
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Introduction
Awireless sensor network (WSN) consists of spatially distributedautonomous sensors to cooperatively monitor physical orenvironmental conditions [1]. It is becoming a significant enablingtechnology for a wide variety of applications such as:
health monitoring emergency response
Security
industrial automation
environment and agriculture applications
automotive and aeronautic applications
building automation
military applications e.t.c
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Introduction conts.
Health monitoring
Wireless sensor networks can greatly be used in healthcare areato monitor and track conditions of patients [2].
They can be used in conjunction with other wireless devices tocollect patients vital signs such as:
blood pressure
heartbeat rate
body temperature,
blood oxygen saturation blood sugar level e.t.c
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Why Using Wireless Sensors in Healthcare?
they eliminate medical errors by continuously collectmore accurate and objective information from patientsfor diagnosis.
they reduce workload and increase the efficiency ofhospital staff.
they improve the comfort of patients.
they allow remote monitoring of patients, freeinghospital resources and home care staff.
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Constraints of Bio-SensorWireless Networks
Despite the usefulness and many applications of wireless
sensor networks in healthcare, they have the following
constraints:
High energy consumption
Security Problem
Limited computational power.
Among the wireless sensor networks constraints energy
consumption is one of the main problem.
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Rationale
Wireless Sensor Networks can be deployed in remote or
difficultly accessible areas. As a result, they often cannot rely on
the power grid for their energy source, and recharging/changing
the batteries at all time may affect the performance of the
sensors [3][4].
In order to reach lifetimes of several months or years, WSNs not
only use energy-efficient micro-controllers and radios (hardware
implementation), but also implement power-efficient schemes at
the Medium-Access layer.
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Objectives
To analyze the energy dissipation characteristics of wireless
sensor nodes.
To simulate energy consumption at each node of the wireless
sensor networks. To encrypt the data transmitted between the devices using
Advanced Encryption Standard (AES).
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Methodology
The following devices will be used to carry out the
research:
Wearable Body Sensor Network (WBSN)
Mobile Phone (GPRS Enable) i.e Sony Ericsson or NokiaE75
Medical Server called An Intelligent Database Health
Management System (IDHMS).
Low-Energy Adaptive Clustering Hierarchy (LEACH) approachwill be used to minimize energy consumption at the sensor
nodes.
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System Architecture
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Medical doctor
Medical Server
ZigBee
GPRS
Sensors
Mobile Phone
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Intra-BAN Communications
ZigBee is used for intra-BAN communication
because of the following reasons:
It allows higher data rate of about 250Kbits/s at frequency
2.4GHz. It is available worldwide (unlicensed frequency).
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References
[1] I. F. Akyildiz, SuWeilian, Y. Sankarasubramaniam, and E. Cayirci, Asurvey on sensor networks, IEEE Communications Magazine, vol. 40,
no. 8, pp. 102 114, August 2002.
[2] M. Perillo andW. Heinzelman, ASP: An adaptive energy-efficient
polling algorithm for Bluetooth piconets, in Proceedings of the
Hawaiian International Conference on System Sciences (HICSS), 2003.[3] W. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient
communication protocol for wireless microsensor networks,
Proceedings of the 33rd International Conference on System Sciences
(HICSS '00), January 2000.
[4] J. Y. Khan and M. R. Yuce, Performance Evaluation of a Wireless
Body Area Sensor Network for Remote Patient Monitoring, in the
conference of the IEEE Engineering in
Medicine and Biology Society (IEEE EMBC08), (August 2008).
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