body area networks katherine liu olivia nordquist

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Body Area Networks

Katherine LiuOlivia Nordquist

2

Agenda

Description

Motivation

Challenges

Applications

3

What are they?

BAN, WBAN, BSN, BAWSN A network of sensors and actuators

residing within the limits of the body

Measure physiological data on the body Movement, position, levels Dispense medication, electric shocks,

etc.

4

Motivation

The state of human health Heart and cardiovascular disease Diabetes Several cancers and chronic diseases

Allow for continuous monitoring of body

General sports and fitness monitoring

5

Interaction with the Body

Invasive vs. non-invasive Most research is geared towards invasive

types

If invasive, nodes must be at least 60cm apart in body Based on government-regulated Specific

Absorption Rate (SAR) Too much exposure to electromagnetic fields

can harm the human body Maximum power density of 1.6 W/kg in U.S.

6

http://www.imec.be/ScientificReport/SR2007/html/1384142.html

High-level overview of an invasive BAN

7

Network

Follows IEEE 802.15 standard 802.15 specifies wireless personal area

network (WPAN) standards

New task group 802.15.6 as of December 2011 specifically for BAN Focusing on low-power, short-range

transfers in and around the body

Data transfer rates vary roughly from 10 Kbps to 10 Mbps

8

Data rates vs. Power

http://www.cse.wustl.edu/~jain/cse574-08/ftp/ban/index.htmlEnergy and transfer rate comparisons amongst 802.15 groups

9

Challenges

Energy

Noise

Embedded software

10

Sources of Energy

Still a huge research topic Harvesting and storing energy

Issue with regular batteries? Large, needs replacing

Fuel cells possible alternative? More expensive, but only needs

refueling

11

Comparing Energy Sources

Source Min Max

Kinetic Sources 40 microW 80 microW

Thermoelectric Sources 1 microW 30 microW

Source Min Max

Batteries 0.14 mW 150 mW

Fuel Cells 2.2 microW 430 microW

Energy Storage

Energy Harvesting

12

Problem with Noise

The nodes send A LOT of data, much more than can be interpreted by the off-body infrastructure. The data does not take up all the broadband width so there do exist methods for dealing with the data but when a collision occurs, in BAN, the collision could mean life or death whereas Ethernet just means slower response times.

13

http://www.imec.be/ScientificReport/SR2007/html/1384142.html

High-level overview of an invasive BAN

14

Carrier Sense Multiple Access with Collision Detection (CSMA/CD)

Media Access Control

Method of arbitration

15

A Simple Schematic

http://en.wikipedia.org/wiki/File:CSMACD-Algorithm.svg

16

Why was that interesting

Method used for Ethernet, radio stations

Recent BAN research as of 2012

Life and death

17

Embedded Software

Energy

Robust

Utilization of data inputs Memory footprints of interpreting device

Interpretation of biometrics

Cost: NP-Hard

18

Healthcare Applications

http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-812.pdf

19

Additional Applications

Military

Athletics

Seamless inter-BAN communication Intuitively bizarre Research new uses

http://news.discovery.com/human/life/advanced-crime-predicting-technologies-is-minority-report-here-infographic.htm

Questions???

21

Sources

2011 Tenth International Symposium on Autonomous Decentralized Systems (ISADS), 519-24, 2011

2012 International Conference on Computing, Networking and Communications (ICNC), p 89-93, 2012

http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-812.pdf

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