A communication architecture using low frequency signals

Hdl Handle:
http://hdl.handle.net/10149/337012
Title:
A communication architecture using low frequency signals
Authors:
Mathew, K. (Kuravilla); Issac, B. (Biju); Eng, T. C. (Tan Chong)
Affiliation:
Teesside University. Digital Futures Institute
Citation:
Mathew, K., Issac, B., Eng, T. C. (2014) 'A communication architecture using low frequency signals' International Conference on Data Science & Engineering (ICDSE) 2014, 26-28 Aug, Kochi, India.
Publisher:
IEEE
Conference:
International Conference on Data Science & Engineering (ICDSE) 2014, 26-28 Aug, Kochi, India.
Issue Date:
26-Aug-2014
URI:
http://hdl.handle.net/10149/337012
DOI:
10.1109/ICDSE.2014.6974635
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6974635
Abstract:
The urban and rural areas present a vast digital divide, as the urban front progresses towards faster and cheaper internet, the rural front is struggling even to make a connection. The reasons for this is more than technological, but this paper looks into one of the technical challenges identified in terms of wireless signal propagation and presents an different network architecture using low frequency signals. The traditional high frequency RF signals do not function well in dense jungle terrains and also consumes a lot of energy and therefore not ideal for this type of environment. Hence the new architecture proposed in this paper uses a new type of signal that can work efficiently in such environments and a low cost, low bandwidth. A low frequency signal is identified in the form of Sound as it is a low energy, low frequency signal with a lot of ubiquitous presence. The architecture is scalable for peer-to-peer ad-hoc mode, an infrastructure mode, a broadcast mode for remote telemetry etc. The architecture proposes using wideband multichannel transmission in order to provide some gain in throughput.
Type:
Meetings and Proceedings
Language:
en
ISBN:
978-1-4799-6870-1

Full metadata record

DC FieldValue Language
dc.contributor.authorMathew, K. (Kuravilla)en
dc.contributor.authorIssac, B. (Biju)en
dc.contributor.authorEng, T. C. (Tan Chong)en
dc.date.accessioned2014-12-10T11:12:52Zen
dc.date.available2014-12-10T11:12:52Zen
dc.date.issued2014-08-26en
dc.identifier.isbn978-1-4799-6870-1en
dc.identifier.doi10.1109/ICDSE.2014.6974635en
dc.identifier.urihttp://hdl.handle.net/10149/337012en
dc.description.abstractThe urban and rural areas present a vast digital divide, as the urban front progresses towards faster and cheaper internet, the rural front is struggling even to make a connection. The reasons for this is more than technological, but this paper looks into one of the technical challenges identified in terms of wireless signal propagation and presents an different network architecture using low frequency signals. The traditional high frequency RF signals do not function well in dense jungle terrains and also consumes a lot of energy and therefore not ideal for this type of environment. Hence the new architecture proposed in this paper uses a new type of signal that can work efficiently in such environments and a low cost, low bandwidth. A low frequency signal is identified in the form of Sound as it is a low energy, low frequency signal with a lot of ubiquitous presence. The architecture is scalable for peer-to-peer ad-hoc mode, an infrastructure mode, a broadcast mode for remote telemetry etc. The architecture proposes using wideband multichannel transmission in order to provide some gain in throughput.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6974635en
dc.titleA communication architecture using low frequency signalsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. Digital Futures Instituteen
dc.identifier.conferenceInternational Conference on Data Science & Engineering (ICDSE) 2014, 26-28 Aug, Kochi, India.en
or.citation.harvardMathew, K., Issac, B., Eng, T. C. (2014) 'A communication architecture using low frequency signals' International Conference on Data Science & Engineering (ICDSE) 2014, 26-28 Aug, Kochi, India.en
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