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Application of Biomimetics Intelligence for Smart Sensor Surveillance System in Legacy Powerline Network

  • George Washington University School of Engineering & Applied Science
  • Code 313

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

In multiple access communication, an addressing code - encapsulated information of senders or receivers - is essential for a correct data communication. However, it occupies a part of the data payload, which causes a reduction in bandwidth utilization. This may not be a problem provided that the communication channel has a large bandwidth. The Code Division Multiple Access (CDMA) can encapsulate the code without occupying any data payload. However, many communication channels have, due to their physical characteristics, a small available bandwidth, which makes them unsuitable for CDMA. The low-frequency-band powerlines (< 0.5 MHz) is an example of such a channel because such lines are not designed for data transmission purposes. Usage of the low frequency band, however, makes the system insensitive to the structure of the power grid, where many locations do not lend themselves to modification of the network. This paper describes an idea of communications without addressing in the low-frequency-band powerline network (< 0.5 MHz) using Finite Alphabet signals and Underdetermined Blind Signal Separation (uBSS). The paper also presents a possible application of Biomimetics intelligence for a surveillance system and a smart sensor web in the legacy powerlines.

Original languageEnglish
Pages631-635
Number of pages5
Publication statusPublished - 2003
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 20 Jul 2003 → 24 Jul 2003

Conference

ConferenceInternational Joint Conference on Neural Networks 2003
Country/TerritoryUnited States
CityPortland, OR
Period20/07/03 → 24/07/03

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