Symbol synchronisation implementation for low-power RF communication in wireless sensor networks

N.C. MacEwen, L.H. Crockett, E. Pfann, R.W. Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)

Abstract

Speckled Computing is a novel vision of a wireless sensor network consisting of small nodes which can sense, compute and network wirelessly. The nodes will individually
have limited power and processing resources, but together will form a powerful processing system. Electrical power resources at such a volume are severely restricted, and as such design decisions are made with low-power as the first priority. This work examines the use of Manchester encoding in the digital transceiver to reduce the complexity of symbol synchronisation. A Manchester decoder has been implemented which has the useful property of being tolerant to oscillator inaccuracies, allowing a cheap and low-power clock source to be employed. A realistic implementation of the decoder using rectangular pulseshaping and an oversampling ratio of 8 allows an on-chip oscillator tolerance of more than 11%.
Original languageEnglish
Title of host publicationConference Record of the 39th Asilomar Conference on Signals, Systems and Computers, 2005
PublisherIEEE
Pages447 - 451
Number of pages5
ISBN (Print)1-4244-0131-3
DOIs
Publication statusPublished - 1 Nov 2005
Event39th Asilomar Conference on Signals, Systems and Computers -
Duration: 1 Jan 1900 → …

Conference

Conference39th Asilomar Conference on Signals, Systems and Computers
Period1/01/00 → …

Keywords

  • computer networks
  • computer vision
  • decoding
  • encoding
  • radio frequency
  • transceivers
  • wireless sensor networks

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