RSSI-based environment identification for 2.45 GHz. body area networks

B.H.E. Altvater; S.F. Heaney; S.L. Cotton; Arjan Meijerink; Marinus Jan Bentum; W.G. Scanlon

doi:10.1109/EuCAP.2012.6206657

RSSI-based environment identification for 2.45 GHz. body area networks

B.H.E. Altvater, S.F. Heaney, S.L. Cotton, Arjan Meijerink, Marinus Jan Bentum, W.G. Scanlon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

4 Downloads (Pure)

Abstract

Abstract—A unique property of body area networks (BANs) is the mobility of the network as the user moves freely around. This mobility represents a significant challenge for BANs, since, in order to operate efficiently, they need to be able to adapt to the changing propagation environment. A method is presented that allows BAN nodes to classify the current operating environment in terms of multipath conditions, based on received signal strength indicator values during normal packet transmissions. A controlled set of measurements was carried out to study the effect different environments inflict on on-body link signal strength in a 2.45 GHz BAN. The analysis shows that, by using two statistical parameters, gathered over a period of one second, BAN nodes can successfully classify the operating environment for over 90% of the time.

Original language	Undefined
Title of host publication	Proceedings of the IEEE 6th European Conference on Antennas and Propagation (EUCAP2012)
Place of Publication	USA
Publisher	IEEE
Pages	755-759
Number of pages	5
ISBN (Print)	978-1-4577-0918-0
DOIs	https://doi.org/10.1109/EuCAP.2012.6206657
Publication status	Published - 31 May 2012
Event	6th European Conference on Antennas and Propagation, EuCAP 2012 - Prague, Czech Republic Duration: 26 Mar 2012 → 30 Mar 2012 Conference number: 6 http://www.eucap2012.org/

Publication series

Name
Publisher	IEEE Antennas & Propagation Society

Conference

Conference	6th European Conference on Antennas and Propagation, EuCAP 2012
Abbreviated title	EuCAP
Country/Territory	Czech Republic
City	Prague
Period	26/03/12 → 30/03/12
Internet address	http://www.eucap2012.org/

Keywords

METIS-287950
EWI-22094
IR-80965

Access to Document

10.1109/EuCAP.2012.6206657

http://eprints.eemcs.utwente.nl/secure2/22094/01/EuCAP2012.pdf

Cite this

@inproceedings{96614bbfce4648758d501833ea840438,

title = "RSSI-based environment identification for 2.45 GHz. body area networks",

abstract = "Abstract—A unique property of body area networks (BANs) is the mobility of the network as the user moves freely around. This mobility represents a significant challenge for BANs, since, in order to operate efficiently, they need to be able to adapt to the changing propagation environment. A method is presented that allows BAN nodes to classify the current operating environment in terms of multipath conditions, based on received signal strength indicator values during normal packet transmissions. A controlled set of measurements was carried out to study the effect different environments inflict on on-body link signal strength in a 2.45 GHz BAN. The analysis shows that, by using two statistical parameters, gathered over a period of one second, BAN nodes can successfully classify the operating environment for over 90% of the time.",

keywords = "METIS-287950, EWI-22094, IR-80965",

author = "B.H.E. Altvater and S.F. Heaney and S.L. Cotton and Arjan Meijerink and Bentum, {Marinus Jan} and W.G. Scanlon",

note = "10.1109/EuCAP.2012.6206657 ; 6th European Conference on Antennas and Propagation, EuCAP 2012 ; Conference date: 26-03-2012 Through 30-03-2012",

year = "2012",

month = may,

day = "31",

doi = "10.1109/EuCAP.2012.6206657",

language = "Undefined",

isbn = "978-1-4577-0918-0",

publisher = "IEEE",

pages = "755--759",

booktitle = "Proceedings of the IEEE 6th European Conference on Antennas and Propagation (EUCAP2012)",

address = "United States",

url = "http://www.eucap2012.org/",

}

Altvater, BHE, Heaney, SF, Cotton, SL, Meijerink, A, Bentum, MJ & Scanlon, WG 2012, RSSI-based environment identification for 2.45 GHz. body area networks. in Proceedings of the IEEE 6th European Conference on Antennas and Propagation (EUCAP2012). IEEE, USA, pp. 755-759, 6th European Conference on Antennas and Propagation, EuCAP 2012, Prague, Czech Republic, 26/03/12. https://doi.org/10.1109/EuCAP.2012.6206657

TY - GEN

T1 - RSSI-based environment identification for 2.45 GHz. body area networks

AU - Altvater, B.H.E.

AU - Heaney, S.F.

AU - Cotton, S.L.

AU - Meijerink, Arjan

AU - Bentum, Marinus Jan

AU - Scanlon, W.G.

N1 - Conference code: 6

PY - 2012/5/31

Y1 - 2012/5/31

N2 - Abstract—A unique property of body area networks (BANs) is the mobility of the network as the user moves freely around. This mobility represents a significant challenge for BANs, since, in order to operate efficiently, they need to be able to adapt to the changing propagation environment. A method is presented that allows BAN nodes to classify the current operating environment in terms of multipath conditions, based on received signal strength indicator values during normal packet transmissions. A controlled set of measurements was carried out to study the effect different environments inflict on on-body link signal strength in a 2.45 GHz BAN. The analysis shows that, by using two statistical parameters, gathered over a period of one second, BAN nodes can successfully classify the operating environment for over 90% of the time.

AB - Abstract—A unique property of body area networks (BANs) is the mobility of the network as the user moves freely around. This mobility represents a significant challenge for BANs, since, in order to operate efficiently, they need to be able to adapt to the changing propagation environment. A method is presented that allows BAN nodes to classify the current operating environment in terms of multipath conditions, based on received signal strength indicator values during normal packet transmissions. A controlled set of measurements was carried out to study the effect different environments inflict on on-body link signal strength in a 2.45 GHz BAN. The analysis shows that, by using two statistical parameters, gathered over a period of one second, BAN nodes can successfully classify the operating environment for over 90% of the time.

KW - METIS-287950

KW - EWI-22094

KW - IR-80965

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DO - 10.1109/EuCAP.2012.6206657

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SN - 978-1-4577-0918-0

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EP - 759

BT - Proceedings of the IEEE 6th European Conference on Antennas and Propagation (EUCAP2012)

PB - IEEE

CY - USA

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Y2 - 26 March 2012 through 30 March 2012

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