human area networking

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BY PRATIKSHA P.PATIL

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Page 1: Human area networking

BY PRATIKSHA P.PATIL

Page 2: Human area networking

Contents

IntroductionMechanismTransceiversApplication & AdvantagesFeatures & LimitationsConclusion

Page 3: Human area networking

INTRODUCTION

Page 4: Human area networking

Fig1. MECHANISM OF WORKING

Page 5: Human area networking

• The transceiver is called as “THE RED TACTON”.• Key features of SENSOR:

measure electric field from device without contacting it.

ultra wide band is possible.

one point contact measurement ,independent of earth.

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Fig2: RED TACTON

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APPLICATIONS

Medical applications ( eg.selection of bottles).

In touch advertising and receive information.

Instant private data exchange. Conference system. In wearable systems (portable music

player). Security applications.

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Secure than other broadcasting systems.

In busy areas, there may be hundred’s of blue tooth devices running,this makes transmission a bit tougher .

As body act as aerials data is passed with ease and security.

ADVANTAGES

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The transceiver can be treated a standard network device. So software running through ethernet or LAN based network can run unmodified.

10BASE communication.

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Human Area Networks –Target PositionAverage power consumption, sustained data rate

1000 mW500 mW100 mW 50 mW 10 mW

1 Gbit/s

100 kbit/s

1 Mbit/s

10 Mbit/s

100 Mbit/s

1 kbit/s

10 kbit/s

Wireless USB

Bluetooth

ZigBee

200 mW 20 mW

Human Are

a Netw

ork

5 mW 2 mW

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FEATURES

Works in compliance with IEEE 802.3 protocol.

Independent path, so data transmission is duplex.

Various service can be triggered with human network.

Both conductor & dielectric is used as medium.

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LIMITATIONS:

1.Operating range(few mts only).

2.Communication speed.

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CONCLUSION

The prototypes are easy to use but they are still under study.

The technology like Redtacton is under development.

If redtacton is introduced into cyber market it will bring a tremendous change and will be adopted by many more people.

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REFERENCES

E. Jovanov, A. Milenkovic, C. Otto, and P.C. de Groen, “A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation”, IEEE Transactions on Circuits and Systems-II: Express Briefs, Vol. 56, No. 8, pp. 672-676, August 2006. M. Shinagawa, M. Fukumoto, K. Ochiai, and H. Kyuragi, “A Near- Field-Sensing Transceiver for Intrabody Communication Based on the Electrooptic Effect”, IEEE Transactions on Instrumentation and

Measurement, Vol. 53, No. 6, December 2004, pp. 1533-1538 H.Y. Yang and R. Sarpeshkar, “A Bio-inspired ultra-energy-efficient analog-to-digital Converter for biomedical applications”, IEEE

Transactions on Circuits and Systems, Regular Papers , vol. 53, no. 11, November 2006, pp. 2349-2356. E.V. Aksenov, Yu.M. Ljashenko, A.V. Plotnikov, D.A. Prilutskiy, S.V. Selishchev, E.V. Vetvetskiy, “Biomedical data acquisition systems based on sigma-delta analogue-to-digital converters” in Proc. IEEE EMBS 23rd Annual International Conference, Oct. 2001, vol. 4, pp. 3336-3337

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