RSSI-based environment identification for 2.45 GHz body area networks

B.H.E. Altvater, S.F. Heaney, S.L. Cotton, A. Meijerink, M.J. Bentum, W.G. Scanlon

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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 languageEnglish
Title of host publication2012 6th European Conference on Antennas and Propagation (EUCAP)
Pages755-759
Number of pages5
ISBN (Electronic)978-1-4577-0919-7
DOIs
Publication statusPublished - Mar 2012
Event6th European Conf. Antennas and Propagation (EUCAP) - Prague, Czech Republic
Duration: 01 Mar 201201 Mar 2012

Conference

Conference6th European Conf. Antennas and Propagation (EUCAP)
CountryCzech Republic
CityPrague
Period01/03/201201/03/2012

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