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Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering

Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radi...

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Main Authors: Mathew, Kuruvilla, Tan, Chong Eng, Biju, Issac
Format: Book Section
Language:English
Published: Springer International Publishing 2015
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/10592/
http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43
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spelling my.unimas.ir.105922016-10-24T02:26:33Z http://ir.unimas.my/id/eprint/10592/ Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering Mathew, Kuruvilla Tan, Chong Eng Biju, Issac T Technology (General) Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radio frequency signals at a wavelength of 3 m function a lot better. This paper studies the possibility of using a very low frequency, down to the range of audible frequencies to try and identify the frequency band that can be used, ubiquitously and unobtrusively. Sound can be considered as a ubiquitous signal due to obvious reasons and the search is to find the unobtrusive frequency band that can be a candidate frequency for data carrier signals. The paper is presented in two sections, the first section does a geographically and age neutral survey to identify the unobtrusive signal and second section analyses the noise profiles in these frequency bands Springer International Publishing 2015 Book Section PeerReviewed text en http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf Mathew, Kuruvilla and Tan, Chong Eng and Biju, Issac (2015) Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. In: New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, 312 (312). Springer International Publishing, pp. 349-359. ISBN Online ISBN 978-3-319-06764-3 http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43 10.1007/978-3-319-06764-3_43
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mathew, Kuruvilla
Tan, Chong Eng
Biju, Issac
Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
description Wireless technology has been introduced and growing since early twentieth century, but there are still environments the current technologies find it difficult to penetrate. The dense jungle terrain, for example, pose a huge challenge for the 0.12 m wavelength of the Wi-Fi signals, but the FM radio frequency signals at a wavelength of 3 m function a lot better. This paper studies the possibility of using a very low frequency, down to the range of audible frequencies to try and identify the frequency band that can be used, ubiquitously and unobtrusively. Sound can be considered as a ubiquitous signal due to obvious reasons and the search is to find the unobtrusive frequency band that can be a candidate frequency for data carrier signals. The paper is presented in two sections, the first section does a geographically and age neutral survey to identify the unobtrusive signal and second section analyses the noise profiles in these frequency bands
format Book Section
author Mathew, Kuruvilla
Tan, Chong Eng
Biju, Issac
author_facet Mathew, Kuruvilla
Tan, Chong Eng
Biju, Issac
author_sort Mathew, Kuruvilla
title Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
title_short Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
title_full Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
title_fullStr Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
title_full_unstemmed Evaluation of Sound Perception to Identify Candidate Frequency for Wireless Networking ; Chapter In : New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering
title_sort evaluation of sound perception to identify candidate frequency for wireless networking ; chapter in : new trends in networking, computing, e-learning, systems sciences, and engineering
publisher Springer International Publishing
publishDate 2015
url http://ir.unimas.my/id/eprint/10592/1/NO%2050%20Evaluation%20of%20sound%20perception%20to%20identify%20candidate%20frequency%20for%20wireless%20networking%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/10592/
http://link.springer.com/chapter/10.1007%2F978-3-319-06764-3_43
_version_ 1644511004585885696
score 13.211869

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